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Cure Model Regression

Usage

# S3 method for formula
cureit(
  surv_formula,
  cure_formula,
  data,
  conf.level = 0.95,
  nboot = 100,
  eps = 1e-07,
  ...
)

cureit(object, ...)

# S3 method for default
cureit(object, ...)

Arguments

surv_formula

formula with Surv() on LHS and covariates on RHS.

cure_formula

formula with covariates for cure fraction on RHS

data

data frame

conf.level

confidence level. Default is 0.95.

nboot

number of bootstrap samples used for inference.

eps

convergence criterion for the EM algorithm.

...

passed to methods

object

input object

Value

cureit object

See also

Examples

cureit(surv_formula = Surv(ttdeath, death) ~ age + grade, 
cure_formula = ~ age + grade,  data = trial)
#> 0 were not able to fit
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002616112               0.569504769               0.345883977 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.575003030             0.009813492             0.108542405 
#>   grade_iii, Cure model 
#>             0.823899189 
#> 
#> $surv_formula
#> Surv(ttdeath, death) ~ age + grade
#> <environment: 0x564adda8e038>
#> 
#> $cure_formula
#> ~age + grade
#> <environment: 0x564adda8e038>
#> 
#> $data
#> # A tibble: 200 × 8
#>    trt      age marker stage grade response death ttdeath
#>    <chr>  <dbl>  <dbl> <fct> <fct>    <int> <dbl>   <dbl>
#>  1 Drug A    23  0.16  T1    II           0     0    24  
#>  2 Drug B     9  1.11  T2    I            1     0    24  
#>  3 Drug A    31  0.277 T1    II           0     0    24  
#>  4 Drug A    NA  2.07  T3    III          1     1    17.6
#>  5 Drug A    51  2.77  T4    III          1     1    16.4
#>  6 Drug B    39  0.613 T4    I            0     1    15.6
#>  7 Drug A    37  0.354 T1    II           0     0    24  
#>  8 Drug A    32  1.74  T1    I            0     1    18.4
#>  9 Drug A    31  0.144 T1    II           0     0    24  
#> 10 Drug B    34  0.205 T3    I            0     1    10.5
#> # ℹ 190 more rows
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> $surv_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $cure_xlevels
#> $cure_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 7
#>   term                   estimate std.error statistic conf.low conf.high p.value
#>   <chr>                     <dbl>     <dbl>     <dbl>    <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure mod… -0.575      0.526     -1.09   -1.61      0.456   0.275 
#> 2 age, Cure model         0.00981    0.0101     0.970  -0.0100    0.0296  0.332 
#> 3 grade_ii, Cure model    0.109      0.351      0.309  -0.579     0.796   0.757 
#> 4 grade_iii, Cure model   0.824      0.375      2.20    0.0893    1.56    0.0279
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 7
#>   term                   estimate std.error statistic conf.low conf.high p.value
#>   <chr>                     <dbl>     <dbl>     <dbl>    <dbl>     <dbl>   <dbl>
#> 1 age, Survival model    -0.00262   0.00814    -0.321  -0.0186    0.0133  0.748 
#> 2 grade_ii, Survival mo…  0.570     0.297       1.92   -0.0126    1.15    0.0552
#> 3 grade_iii, Survival m…  0.346     0.222       1.56   -0.0892    0.781   0.119 
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.575003          0.009813          0.108542          0.823899  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 253.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.575003030      0.009813492      0.108542405      0.823899189 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002616112      0.569504769      0.345883977 
#> 
#> $b_var
#> [1] 0.2769083741 0.0001023678 0.1231648254 0.1404811974
#> 
#> $b_sd
#> [1] 0.5262208 0.0101177 0.3509485 0.3748082
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.0927029        0.9699336        0.3092830        2.1981887 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.27452427       0.33207961       0.75710624       0.02793566 
#> 
#> $beta_var
#> [1] 6.631273e-05 8.820734e-02 4.927252e-02
#> 
#> $beta_sd
#> [1] 0.008143263 0.296997213 0.221974144
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.3212609        1.9175425        1.5582174 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.74801270       0.05516905       0.11918172 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.000000000 0.000000000 0.000000000 0.604678067 0.658063410 0.000000000
#>   [7] 0.417229340 0.000000000 0.879376354 0.000000000 0.000000000 0.744886187
#>  [13] 0.787600867 0.142672058 0.944518547 0.000000000 0.693100768 0.000000000
#>  [19] 0.000000000 0.000000000 0.000000000 0.540871173 0.006912639 0.976381134
#>  [25] 0.640373656 0.000000000 0.000000000 0.684419417 0.522291631 0.000000000
#>  [31] 0.278243702 0.000000000 0.000000000 0.000000000 0.246976530 0.821307758
#>  [37] 0.000000000 0.666890646 0.466018936 0.456394953 0.829660071 0.854634203
#>  [43] 0.000000000 0.531599829 0.000000000 0.000000000 0.000000000 0.846335953
#>  [49] 0.446649365 0.887603756 0.000000000 0.000000000 0.368370905 0.837991986
#>  [55] 0.736284601 0.368370905 0.762052697 0.904005497 0.000000000 0.130947018
#>  [61] 0.000000000 0.000000000 0.178167087 0.000000000 0.298558895 0.093531067
#>  [67] 0.960518552 0.000000000 0.000000000 0.000000000 0.000000000 0.387858887
#>  [73] 0.968455884 0.020860827 0.613665875 0.000000000 0.753465281 0.000000000
#>  [79] 0.000000000 0.000000000 0.586773524 0.036370054 0.000000000 0.427038837
#>  [85] 0.267747949 0.984266892 0.106209363 0.895813391 0.000000000 0.000000000
#>  [91] 0.727657186 0.397671772 0.000000000 0.246976530 0.631469660 0.920311545
#>  [97] 0.000000000 0.000000000 0.000000000 0.348502061 0.550166021 0.862915985
#> [103] 0.436874482 0.000000000 0.494318881 0.513013956 0.000000000 0.118522726
#> [109] 0.000000000 0.503694197 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.779118376 0.649247645 0.000000000 0.992139734 0.308649170
#> [121] 0.080274841 0.568542449 0.000000000 0.000000000 0.718999352 0.475516896
#> [127] 0.000000000 0.201867710 0.000000000 0.000000000 0.224987874 0.796088245
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.912176411 0.000000000
#> [139] 0.000000000 0.000000000 0.952539418 0.318644852 0.000000000 0.000000000
#> [145] 0.236117909 0.804529313 0.770582430 0.000000000 0.701722215 0.328677697
#> [151] 0.871155498 0.000000000 0.000000000 0.000000000 0.000000000 0.065734870
#> [157] 0.000000000 0.338572747 0.675684959 0.050684149 0.154512416 0.358472658
#> [163] 0.559374570 0.000000000 0.000000000 0.000000000 0.189977968 0.000000000
#> [169] 0.812910823 0.000000000 0.407438340 0.710355937 0.577676416 0.000000000
#> [175] 0.936485829 0.484909262 0.000000000 0.000000000 0.928419678 0.622583868
#> [181] 0.288505592 0.000000000 0.586773524 0.000000000 0.166456957 0.000000000
#> [187] 0.213576414 0.000000000 0.000000000
#> 
#> $Time
#>     1     2     3     5     6     7     8     9    10    11    12    13    14 
#> 24.00 24.00 24.00 16.43 15.64 24.00 18.43 24.00 10.53 24.00 24.00 14.34 12.89 
#>    15    16    17    18    19    20    21    22    23    24    25    26    27 
#> 22.68  8.71 24.00 15.21 24.00 24.00 24.00 24.00 16.92 23.89  6.32 15.77 24.00 
#>    28    29    30    31    32    33    34    35    36    37    38    39    40 
#> 24.00 15.45 17.43 24.00 20.90 24.00 24.00 24.00 21.19 12.52 24.00 15.59 18.00 
#>    41    42    43    44    45    46    47    48    49    51    52    53    54 
#> 18.02 12.43 12.10 24.00 17.42 24.00 24.00 24.00 12.19 18.23 10.42 24.00 24.00 
#>    55    56    57    58    60    61    62    63    64    65    66    67    68 
#> 19.34 12.21 14.46 19.34 13.15 10.12 24.00 22.77 24.00 24.00 22.13 24.00 20.62 
#>    69    70    71    72    74    75    76    77    78    79    80    81    82 
#> 23.23  7.38 24.00 24.00 24.00 24.00 19.22  7.27 23.88 16.23 24.00 14.06 24.00 
#>    83    84    85    86    87    88    90    91    92    93    94    95    96 
#> 24.00 24.00 16.44 23.81 24.00 18.37 20.94  5.33 22.92 10.33 24.00 24.00 14.54 
#>    97    98    99   100   101   102   103   104   105   106   107   108   109 
#> 19.14 24.00 21.19 16.07  9.97 24.00 24.00 24.00 19.75 16.67 11.18 18.29 24.00 
#>   110   111   112   113   116   117   118   119   120   121   122   123   125 
#> 17.56 17.45 24.00 22.86 24.00 17.46 24.00 24.00 24.00 24.00 24.00 13.00 15.65 
#>   126   127   128   129   130   131   132   133   134   135   136   137   138 
#> 24.00  3.53 20.35 23.41 16.47 24.00 24.00 14.65 17.81 24.00 21.83 24.00 24.00 
#>   139   140   141   142   143   144   145   146   147   148   149   150   151 
#> 21.49 12.68 24.00 24.00 24.00 24.00 10.07 24.00 24.00 24.00  8.37 20.33 24.00 
#>   152   153   154   155   156   157   158   159   160   161   162   163   164 
#> 24.00 21.33 12.63 13.08 24.00 15.10 20.14 10.55 24.00 24.00 24.00 24.00 23.60 
#>   165   166   167   168   169   170   171   172   173   174   175   176   177 
#> 24.00 19.98 15.55 23.72 22.41 19.54 16.57 24.00 24.00 24.00 21.91 24.00 12.53 
#>   178   179   180   181   182   183   184   185   186   187   188   190   191 
#> 24.00 18.63 14.82 16.46 24.00  9.24 17.77 24.00 24.00  9.92 16.16 20.81 24.00 
#>   192   193   194   196   197   198   200 
#> 16.44 24.00 22.40 24.00 21.60 24.00 24.00 
#> 
#> $bootstrap_fit
#> $bootstrap_fit[[1]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005677755               0.653133672               0.135991334 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.014200031             0.002146869            -0.387889956 
#>   grade_iii, Cure model 
#>             0.801130099 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 45    17.42      1  54        0         1
#> 158   20.14      1  74        1         0
#> 10    10.53      1  34        0         0
#> 40    18.00      1  28        1         0
#> 177   12.53      1  75        0         0
#> 5     16.43      1  51        0         1
#> 189   10.51      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 24    23.89      1  38        0         0
#> 154   12.63      1  20        1         0
#> 124    9.73      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 49    12.19      1  48        1         0
#> 96    14.54      1  33        0         1
#> 140   12.68      1  59        1         0
#> 99    21.19      1  38        0         1
#> 123   13.00      1  44        1         0
#> 194   22.40      1  38        0         1
#> 66    22.13      1  53        0         0
#> 15    22.68      1  48        0         0
#> 170   19.54      1  43        0         1
#> 81    14.06      1  34        0         0
#> 124.1  9.73      1  NA        1         0
#> 170.1 19.54      1  43        0         1
#> 36    21.19      1  48        0         1
#> 168   23.72      1  70        0         0
#> 5.1   16.43      1  51        0         1
#> 180   14.82      1  37        0         0
#> 69    23.23      1  25        0         1
#> 50    10.02      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 150   20.33      1  48        0         0
#> 113   22.86      1  34        0         0
#> 85    16.44      1  36        0         0
#> 105   19.75      1  60        0         0
#> 129   23.41      1  53        1         0
#> 192   16.44      1  31        1         0
#> 13    14.34      1  54        0         1
#> 66.1  22.13      1  53        0         0
#> 78    23.88      1  43        0         0
#> 192.1 16.44      1  31        1         0
#> 90    20.94      1  50        0         1
#> 187    9.92      1  39        1         0
#> 194.1 22.40      1  38        0         1
#> 155   13.08      1  26        0         0
#> 10.1  10.53      1  34        0         0
#> 58    19.34      1  39        0         0
#> 30    17.43      1  78        0         0
#> 183.1  9.24      1  67        1         0
#> 107   11.18      1  54        1         0
#> 101    9.97      1  10        0         1
#> 149    8.37      1  33        1         0
#> 128   20.35      1  35        0         1
#> 145   10.07      1  65        1         0
#> 78.1  23.88      1  43        0         0
#> 45.1  17.42      1  54        0         1
#> 23    16.92      1  61        0         0
#> 133   14.65      1  57        0         0
#> 77     7.27      1  67        0         1
#> 63    22.77      1  31        1         0
#> 166   19.98      1  48        0         0
#> 77.1   7.27      1  67        0         1
#> 39    15.59      1  37        0         1
#> 170.2 19.54      1  43        0         1
#> 110   17.56      1  65        0         1
#> 167   15.55      1  56        1         0
#> 187.1  9.92      1  39        1         0
#> 6     15.64      1  39        0         0
#> 157   15.10      1  47        0         0
#> 57    14.46      1  45        0         1
#> 164   23.60      1  76        0         1
#> 8     18.43      1  32        0         0
#> 60    13.15      1  38        1         0
#> 5.2   16.43      1  51        0         1
#> 26    15.77      1  49        0         1
#> 155.1 13.08      1  26        0         0
#> 96.1  14.54      1  33        0         1
#> 36.1  21.19      1  48        0         1
#> 69.1  23.23      1  25        0         1
#> 159   10.55      1  50        0         1
#> 8.1   18.43      1  32        0         0
#> 49.1  12.19      1  48        1         0
#> 86    23.81      1  58        0         1
#> 167.1 15.55      1  56        1         0
#> 37    12.52      1  57        1         0
#> 69.2  23.23      1  25        0         1
#> 111   17.45      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 150.1 20.33      1  48        0         0
#> 8.2   18.43      1  32        0         0
#> 113.1 22.86      1  34        0         0
#> 23.1  16.92      1  61        0         0
#> 197   21.60      1  69        1         0
#> 63.1  22.77      1  31        1         0
#> 23.2  16.92      1  61        0         0
#> 93    10.33      1  52        0         1
#> 6.1   15.64      1  39        0         0
#> 180.1 14.82      1  37        0         0
#> 93.1  10.33      1  52        0         1
#> 15.1  22.68      1  48        0         0
#> 8.3   18.43      1  32        0         0
#> 97    19.14      1  65        0         1
#> 183.2  9.24      1  67        1         0
#> 92    22.92      1  47        0         1
#> 43    12.10      1  61        0         1
#> 157.1 15.10      1  47        0         0
#> 56    12.21      1  60        0         0
#> 183.3  9.24      1  67        1         0
#> 123.1 13.00      1  44        1         0
#> 139   21.49      1  63        1         0
#> 13.1  14.34      1  54        0         1
#> 69.3  23.23      1  25        0         1
#> 84    24.00      0  39        0         1
#> 174   24.00      0  49        1         0
#> 9     24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 65    24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 35    24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 74    24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 95    24.00      0  68        0         1
#> 22    24.00      0  52        1         0
#> 98    24.00      0  34        1         0
#> 163   24.00      0  66        0         0
#> 198   24.00      0  66        0         1
#> 122.1 24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 200   24.00      0  64        0         0
#> 182   24.00      0  35        0         0
#> 196   24.00      0  19        0         0
#> 186   24.00      0  45        1         0
#> 98.1  24.00      0  34        1         0
#> 185   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 9.1   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 135   24.00      0  58        1         0
#> 200.1 24.00      0  64        0         0
#> 198.1 24.00      0  66        0         1
#> 102   24.00      0  49        0         0
#> 38    24.00      0  31        1         0
#> 196.1 24.00      0  19        0         0
#> 28.1  24.00      0  67        1         0
#> 1     24.00      0  23        1         0
#> 198.2 24.00      0  66        0         1
#> 83    24.00      0   6        0         0
#> 98.2  24.00      0  34        1         0
#> 112.1 24.00      0  61        0         0
#> 17    24.00      0  38        0         1
#> 135.1 24.00      0  58        1         0
#> 71    24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 84.1  24.00      0  39        0         1
#> 74.1  24.00      0  43        0         1
#> 182.1 24.00      0  35        0         0
#> 137   24.00      0  45        1         0
#> 80    24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 64.1  24.00      0  43        0         0
#> 22.1  24.00      0  52        1         0
#> 35.1  24.00      0  51        0         0
#> 174.1 24.00      0  49        1         0
#> 196.2 24.00      0  19        0         0
#> 54    24.00      0  53        1         0
#> 9.2   24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 143   24.00      0  51        0         0
#> 83.1  24.00      0   6        0         0
#> 48.1  24.00      0  31        1         0
#> 112.2 24.00      0  61        0         0
#> 28.2  24.00      0  67        1         0
#> 83.2  24.00      0   6        0         0
#> 186.1 24.00      0  45        1         0
#> 193   24.00      0  45        0         1
#> 148   24.00      0  61        1         0
#> 135.2 24.00      0  58        1         0
#> 84.2  24.00      0  39        0         1
#> 178   24.00      0  52        1         0
#> 156   24.00      0  50        1         0
#> 191   24.00      0  60        0         1
#> 121   24.00      0  57        1         0
#> 162   24.00      0  51        0         0
#> 9.3   24.00      0  31        1         0
#> 65.1  24.00      0  57        1         0
#> 87    24.00      0  27        0         0
#> 46    24.00      0  71        0         0
#> 148.1 24.00      0  61        1         0
#> 48.2  24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 27    24.00      0  63        1         0
#> 35.2  24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 162.1 24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0142         NA        NA      NA
#> 2 age, Cure model          0.00215        NA        NA      NA
#> 3 grade_ii, Cure model    -0.388          NA        NA      NA
#> 4 grade_iii, Cure model    0.801          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00568        NA        NA      NA
#> 2 grade_ii, Survival model   0.653          NA        NA      NA
#> 3 grade_iii, Survival model  0.136          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.014200          0.002147         -0.387890          0.801130  
#> 
#> Degrees of Freedom: 194 Total (i.e. Null);  191 Residual
#> Null Deviance:	    268.5 
#> Residual Deviance: 258.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.014200031      0.002146869     -0.387889956      0.801130099 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005677755      0.653133672      0.135991334 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.61981972 0.47828693 0.91473904 0.58774051 0.86562134 0.68029760
#>   [7] 0.96174289 0.03007971 0.85926141 0.53858172 0.88445836 0.77934765
#>  [13] 0.85284674 0.41332001 0.83990211 0.33720454 0.36006486 0.31367261
#>  [19] 0.50478652 0.81325059 0.50478652 0.41332001 0.13736024 0.68029760
#>  [25] 0.75868298 0.19497119 0.40345826 0.46002910 0.26258082 0.65818898
#>  [31] 0.49601246 0.17836637 0.65818898 0.79979948 0.36006486 0.06734198
#>  [37] 0.65818898 0.44127441 0.95024503 0.33720454 0.82665807 0.91473904
#>  [43] 0.53005539 0.61188758 0.96174289 0.90272154 0.94437908 0.98365793
#>  [49] 0.45069053 0.93850538 0.06734198 0.61981972 0.63536246 0.77245450
#>  [55] 0.98914248 0.28957547 0.48717494 0.98914248 0.72372928 0.50478652
#>  [61] 0.59585510 0.73094361 0.95024503 0.70931343 0.74485278 0.79298131
#>  [67] 0.15886822 0.55540049 0.81999226 0.68029760 0.70203164 0.82665807
#>  [73] 0.77934765 0.41332001 0.19497119 0.90874065 0.55540049 0.88445836
#>  [79] 0.11408598 0.73094361 0.87195657 0.19497119 0.60389773 0.46002910
#>  [85] 0.55540049 0.26258082 0.63536246 0.38242733 0.28957547 0.63536246
#>  [91] 0.92666329 0.70931343 0.75868298 0.92666329 0.31367261 0.55540049
#>  [97] 0.54703357 0.96174289 0.24840009 0.89663707 0.74485278 0.87821649
#> [103] 0.96174289 0.83990211 0.39318841 0.79979948 0.19497119 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    45   158    10    40   177     5   183    24   154    76    49    96   140 
#> 17.42 20.14 10.53 18.00 12.53 16.43  9.24 23.89 12.63 19.22 12.19 14.54 12.68 
#>    99   123   194    66    15   170    81 170.1    36   168   5.1   180    69 
#> 21.19 13.00 22.40 22.13 22.68 19.54 14.06 19.54 21.19 23.72 16.43 14.82 23.23 
#>   153   150   113    85   105   129   192    13  66.1    78 192.1    90   187 
#> 21.33 20.33 22.86 16.44 19.75 23.41 16.44 14.34 22.13 23.88 16.44 20.94  9.92 
#> 194.1   155  10.1    58    30 183.1   107   101   149   128   145  78.1  45.1 
#> 22.40 13.08 10.53 19.34 17.43  9.24 11.18  9.97  8.37 20.35 10.07 23.88 17.42 
#>    23   133    77    63   166  77.1    39 170.2   110   167 187.1     6   157 
#> 16.92 14.65  7.27 22.77 19.98  7.27 15.59 19.54 17.56 15.55  9.92 15.64 15.10 
#>    57   164     8    60   5.2    26 155.1  96.1  36.1  69.1   159   8.1  49.1 
#> 14.46 23.60 18.43 13.15 16.43 15.77 13.08 14.54 21.19 23.23 10.55 18.43 12.19 
#>    86 167.1    37  69.2   111 150.1   8.2 113.1  23.1   197  63.1  23.2    93 
#> 23.81 15.55 12.52 23.23 17.45 20.33 18.43 22.86 16.92 21.60 22.77 16.92 10.33 
#>   6.1 180.1  93.1  15.1   8.3    97 183.2    92    43 157.1    56 183.3 123.1 
#> 15.64 14.82 10.33 22.68 18.43 19.14  9.24 22.92 12.10 15.10 12.21  9.24 13.00 
#>   139  13.1  69.3    84   174     9    64    65    48   122   112    35    28 
#> 21.49 14.34 23.23 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74    47    12    95    22    98   163   198 122.1    11   200   182   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186  98.1   185   126   9.1    33   135 200.1 198.1   102    38 196.1  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1 198.2    83  98.2 112.1    17 135.1    71   118    82  84.1  74.1 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137    80   147  64.1  22.1  35.1 174.1 196.2    54   9.2   109   143  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1 112.2  28.2  83.2 186.1   193   148 135.2  84.2   178   156   191   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162   9.3  65.1    87    46 148.1  48.2     3   144    27  35.2    19 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[2]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004811865               0.763221736               0.931383550 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.64578243              0.02152967             -0.71620585 
#>   grade_iii, Cure model 
#>              0.36846427 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 127    3.53      1  62        0         1
#> 192   16.44      1  31        1         0
#> 125   15.65      1  67        1         0
#> 129   23.41      1  53        1         0
#> 159   10.55      1  50        0         1
#> 39    15.59      1  37        0         1
#> 77     7.27      1  67        0         1
#> 13    14.34      1  54        0         1
#> 108   18.29      1  39        0         1
#> 49    12.19      1  48        1         0
#> 24    23.89      1  38        0         0
#> 188   16.16      1  46        0         1
#> 127.1  3.53      1  62        0         1
#> 184   17.77      1  38        0         0
#> 52    10.42      1  52        0         1
#> 175   21.91      1  43        0         0
#> 68    20.62      1  44        0         0
#> 56    12.21      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 189   10.51      1  NA        1         0
#> 127.2  3.53      1  62        0         1
#> 183    9.24      1  67        1         0
#> 168   23.72      1  70        0         0
#> 78    23.88      1  43        0         0
#> 23    16.92      1  61        0         0
#> 41    18.02      1  40        1         0
#> 177   12.53      1  75        0         0
#> 136   21.83      1  43        0         1
#> 76    19.22      1  54        0         1
#> 85    16.44      1  36        0         0
#> 155   13.08      1  26        0         0
#> 85.1  16.44      1  36        0         0
#> 183.1  9.24      1  67        1         0
#> 43    12.10      1  61        0         1
#> 79    16.23      1  54        1         0
#> 188.1 16.16      1  46        0         1
#> 63    22.77      1  31        1         0
#> 57    14.46      1  45        0         1
#> 61    10.12      1  36        0         1
#> 140   12.68      1  59        1         0
#> 25     6.32      1  34        1         0
#> 195   11.76      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 111   17.45      1  47        0         1
#> 111.1 17.45      1  47        0         1
#> 145   10.07      1  65        1         0
#> 175.1 21.91      1  43        0         0
#> 166   19.98      1  48        0         0
#> 113   22.86      1  34        0         0
#> 41.1  18.02      1  40        1         0
#> 57.1  14.46      1  45        0         1
#> 96    14.54      1  33        0         1
#> 86    23.81      1  58        0         1
#> 14    12.89      1  21        0         0
#> 167   15.55      1  56        1         0
#> 66    22.13      1  53        0         0
#> 99    21.19      1  38        0         1
#> 158   20.14      1  74        1         0
#> 91     5.33      1  61        0         1
#> 6     15.64      1  39        0         0
#> 49.1  12.19      1  48        1         0
#> 125.1 15.65      1  67        1         0
#> 111.2 17.45      1  47        0         1
#> 175.2 21.91      1  43        0         0
#> 159.1 10.55      1  50        0         1
#> 55    19.34      1  69        0         1
#> 61.1  10.12      1  36        0         1
#> 30    17.43      1  78        0         0
#> 60    13.15      1  38        1         0
#> 51    18.23      1  83        0         1
#> 81    14.06      1  34        0         0
#> 52.1  10.42      1  52        0         1
#> 57.2  14.46      1  45        0         1
#> 61.2  10.12      1  36        0         1
#> 63.1  22.77      1  31        1         0
#> 68.1  20.62      1  44        0         0
#> 88    18.37      1  47        0         0
#> 25.1   6.32      1  34        1         0
#> 117   17.46      1  26        0         1
#> 86.1  23.81      1  58        0         1
#> 128   20.35      1  35        0         1
#> 42    12.43      1  49        0         1
#> 187    9.92      1  39        1         0
#> 78.1  23.88      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 23.1  16.92      1  61        0         0
#> 59.1  10.16      1  NA        1         0
#> 91.1   5.33      1  61        0         1
#> 49.2  12.19      1  48        1         0
#> 14.1  12.89      1  21        0         0
#> 153   21.33      1  55        1         0
#> 59.2  10.16      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 89    11.44      1  NA        0         0
#> 97.1  19.14      1  65        0         1
#> 180   14.82      1  37        0         0
#> 43.1  12.10      1  61        0         1
#> 18    15.21      1  49        1         0
#> 78.2  23.88      1  43        0         0
#> 110   17.56      1  65        0         1
#> 190   20.81      1  42        1         0
#> 24.1  23.89      1  38        0         0
#> 41.2  18.02      1  40        1         0
#> 124    9.73      1  NA        1         0
#> 129.1 23.41      1  53        1         0
#> 89.1  11.44      1  NA        0         0
#> 24.2  23.89      1  38        0         0
#> 134   17.81      1  47        1         0
#> 96.1  14.54      1  33        0         1
#> 29    15.45      1  68        1         0
#> 145.1 10.07      1  65        1         0
#> 115   24.00      0  NA        1         0
#> 176   24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 191   24.00      0  60        0         1
#> 120   24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 94    24.00      0  51        0         1
#> 118   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 104   24.00      0  50        1         0
#> 152   24.00      0  36        0         1
#> 54    24.00      0  53        1         0
#> 126   24.00      0  48        0         0
#> 200   24.00      0  64        0         0
#> 87    24.00      0  27        0         0
#> 156   24.00      0  50        1         0
#> 72.1  24.00      0  40        0         1
#> 87.1  24.00      0  27        0         0
#> 35    24.00      0  51        0         0
#> 156.1 24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 20    24.00      0  46        1         0
#> 2     24.00      0   9        0         0
#> 82    24.00      0  34        0         0
#> 178   24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 103   24.00      0  56        1         0
#> 146   24.00      0  63        1         0
#> 102   24.00      0  49        0         0
#> 73    24.00      0  NA        0         1
#> 7     24.00      0  37        1         0
#> 196.1 24.00      0  19        0         0
#> 144   24.00      0  28        0         1
#> 48    24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 160   24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 141   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 156.2 24.00      0  50        1         0
#> 73.2  24.00      0  NA        0         1
#> 135   24.00      0  58        1         0
#> 163   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 27.1  24.00      0  63        1         0
#> 38.1  24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 121   24.00      0  57        1         0
#> 185   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 27.2  24.00      0  63        1         0
#> 7.1   24.00      0  37        1         0
#> 146.1 24.00      0  63        1         0
#> 176.1 24.00      0  43        0         1
#> 48.1  24.00      0  31        1         0
#> 191.1 24.00      0  60        0         1
#> 176.2 24.00      0  43        0         1
#> 48.2  24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 193.1 24.00      0  45        0         1
#> 62    24.00      0  71        0         0
#> 174   24.00      0  49        1         0
#> 148.1 24.00      0  61        1         0
#> 119   24.00      0  17        0         0
#> 137   24.00      0  45        1         0
#> 48.3  24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 173   24.00      0  19        0         1
#> 178.1 24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 67    24.00      0  25        0         0
#> 104.1 24.00      0  50        1         0
#> 67.1  24.00      0  25        0         0
#> 185.1 24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 137.1 24.00      0  45        1         0
#> 27.3  24.00      0  63        1         0
#> 191.2 24.00      0  60        0         1
#> 141.1 24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 44.1  24.00      0  56        0         0
#> 160.1 24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 33.1  24.00      0  53        0         0
#> 94.1  24.00      0  51        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.646         NA        NA      NA
#> 2 age, Cure model           0.0215        NA        NA      NA
#> 3 grade_ii, Cure model     -0.716         NA        NA      NA
#> 4 grade_iii, Cure model     0.368         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00481        NA        NA      NA
#> 2 grade_ii, Survival model   0.763          NA        NA      NA
#> 3 grade_iii, Survival model  0.931          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.64578           0.02153          -0.71621           0.36846  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.1 
#> Residual Deviance: 243.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.64578243       0.02152967      -0.71620585       0.36846427 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004811865      0.763221736      0.931383550 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.98832119 0.72936667 0.76734904 0.32839273 0.91536408 0.78522608
#>   [7] 0.96793828 0.84054200 0.62126151 0.89149032 0.07686995 0.75506614
#>  [13] 0.98832119 0.66787649 0.92457300 0.42156608 0.52365527 0.88650787
#>  [19] 0.98832119 0.95954875 0.30774893 0.17679791 0.71622047 0.63776185
#>  [25] 0.87646086 0.46289524 0.58605061 0.72936667 0.85604746 0.72936667
#>  [31] 0.95954875 0.90594399 0.74867325 0.75506614 0.37801783 0.82485133
#>  [37] 0.93357922 0.87139297 0.97209696 0.47623476 0.68974142 0.68974142
#>  [43] 0.94667445 0.42156608 0.56621469 0.36130644 0.63776185 0.82485133
#>  [49] 0.81390811 0.26678525 0.86117712 0.79110328 0.40697425 0.50099992
#>  [55] 0.55603296 0.98028975 0.77925808 0.89149032 0.76734904 0.68974142
#>  [61] 0.42156608 0.91536408 0.57634907 0.93357922 0.70957513 0.85091370
#>  [67] 0.62966210 0.84573068 0.92457300 0.82485133 0.93357922 0.37801783
#>  [73] 0.52365527 0.61262000 0.97209696 0.68261424 0.26678525 0.54545158
#>  [79] 0.88151604 0.95527126 0.17679791 0.59539766 0.71622047 0.98028975
#>  [85] 0.89149032 0.86117712 0.48889866 0.59539766 0.80826772 0.90594399
#>  [91] 0.80261965 0.17679791 0.67534465 0.51253101 0.07686995 0.63776185
#>  [97] 0.32839273 0.07686995 0.66039155 0.81390811 0.79690256 0.94667445
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   127   192   125   129   159    39    77    13   108    49    24   188 127.1 
#>  3.53 16.44 15.65 23.41 10.55 15.59  7.27 14.34 18.29 12.19 23.89 16.16  3.53 
#>   184    52   175    68    56 127.2   183   168    78    23    41   177   136 
#> 17.77 10.42 21.91 20.62 12.21  3.53  9.24 23.72 23.88 16.92 18.02 12.53 21.83 
#>    76    85   155  85.1 183.1    43    79 188.1    63    57    61   140    25 
#> 19.22 16.44 13.08 16.44  9.24 12.10 16.23 16.16 22.77 14.46 10.12 12.68  6.32 
#>   139   111 111.1   145 175.1   166   113  41.1  57.1    96    86    14   167 
#> 21.49 17.45 17.45 10.07 21.91 19.98 22.86 18.02 14.46 14.54 23.81 12.89 15.55 
#>    66    99   158    91     6  49.1 125.1 111.2 175.2 159.1    55  61.1    30 
#> 22.13 21.19 20.14  5.33 15.64 12.19 15.65 17.45 21.91 10.55 19.34 10.12 17.43 
#>    60    51    81  52.1  57.2  61.2  63.1  68.1    88  25.1   117  86.1   128 
#> 13.15 18.23 14.06 10.42 14.46 10.12 22.77 20.62 18.37  6.32 17.46 23.81 20.35 
#>    42   187  78.1    97  23.1  91.1  49.2  14.1   153  97.1   180  43.1    18 
#> 12.43  9.92 23.88 19.14 16.92  5.33 12.19 12.89 21.33 19.14 14.82 12.10 15.21 
#>  78.2   110   190  24.1  41.2 129.1  24.2   134  96.1    29 145.1   176   196 
#> 23.88 17.56 20.81 23.89 18.02 23.41 23.89 17.81 14.54 15.45 10.07 24.00 24.00 
#>   191   120   193    94   118    72   104   152    54   126   200    87   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1  87.1    35 156.1   162   147    20     2    82   178    83   103   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102     7 196.1   144    48    53   160    38   141    27 156.2   135   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33   198  27.1  38.1    11   121   185   132  27.2   7.1 146.1 176.1  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1 176.2  48.2   148 193.1    62   174 148.1   119   137  48.3    21   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1    75    67 104.1  67.1 185.1  20.1 137.1  27.3 191.2 141.1    44  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1 174.1  33.1  94.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[3]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004168651               0.391052875               0.336286128 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.568553324             0.009425192             0.339666260 
#>   grade_iii, Cure model 
#>             0.714418263 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 197   21.60      1  69        1         0
#> 166   19.98      1  48        0         0
#> 188   16.16      1  46        0         1
#> 130   16.47      1  53        0         1
#> 123   13.00      1  44        1         0
#> 49    12.19      1  48        1         0
#> 18    15.21      1  49        1         0
#> 125   15.65      1  67        1         0
#> 125.1 15.65      1  67        1         0
#> 101    9.97      1  10        0         1
#> 92    22.92      1  47        0         1
#> 91     5.33      1  61        0         1
#> 55    19.34      1  69        0         1
#> 92.1  22.92      1  47        0         1
#> 106   16.67      1  49        1         0
#> 181   16.46      1  45        0         1
#> 55.1  19.34      1  69        0         1
#> 40    18.00      1  28        1         0
#> 61    10.12      1  36        0         1
#> 150   20.33      1  48        0         0
#> 100   16.07      1  60        0         0
#> 194   22.40      1  38        0         1
#> 166.1 19.98      1  48        0         0
#> 43    12.10      1  61        0         1
#> 6     15.64      1  39        0         0
#> 23    16.92      1  61        0         0
#> 124    9.73      1  NA        1         0
#> 181.1 16.46      1  45        0         1
#> 188.1 16.16      1  46        0         1
#> 77     7.27      1  67        0         1
#> 130.1 16.47      1  53        0         1
#> 166.2 19.98      1  48        0         0
#> 58    19.34      1  39        0         0
#> 63    22.77      1  31        1         0
#> 140   12.68      1  59        1         0
#> 169   22.41      1  46        0         0
#> 179   18.63      1  42        0         0
#> 101.1  9.97      1  10        0         1
#> 91.1   5.33      1  61        0         1
#> 42    12.43      1  49        0         1
#> 125.2 15.65      1  67        1         0
#> 113   22.86      1  34        0         0
#> 188.2 16.16      1  46        0         1
#> 63.1  22.77      1  31        1         0
#> 123.1 13.00      1  44        1         0
#> 63.2  22.77      1  31        1         0
#> 15    22.68      1  48        0         0
#> 190   20.81      1  42        1         0
#> 123.2 13.00      1  44        1         0
#> 127    3.53      1  62        0         1
#> 14    12.89      1  21        0         0
#> 194.1 22.40      1  38        0         1
#> 18.1  15.21      1  49        1         0
#> 68    20.62      1  44        0         0
#> 52    10.42      1  52        0         1
#> 61.1  10.12      1  36        0         1
#> 180   14.82      1  37        0         0
#> 134   17.81      1  47        1         0
#> 45    17.42      1  54        0         1
#> 99    21.19      1  38        0         1
#> 190.1 20.81      1  42        1         0
#> 136   21.83      1  43        0         1
#> 90    20.94      1  50        0         1
#> 124.1  9.73      1  NA        1         0
#> 91.2   5.33      1  61        0         1
#> 134.1 17.81      1  47        1         0
#> 69    23.23      1  25        0         1
#> 49.1  12.19      1  48        1         0
#> 134.2 17.81      1  47        1         0
#> 114   13.68      1  NA        0         0
#> 6.1   15.64      1  39        0         0
#> 77.1   7.27      1  67        0         1
#> 180.1 14.82      1  37        0         0
#> 78    23.88      1  43        0         0
#> 66    22.13      1  53        0         0
#> 113.1 22.86      1  34        0         0
#> 153   21.33      1  55        1         0
#> 10    10.53      1  34        0         0
#> 194.2 22.40      1  38        0         1
#> 157   15.10      1  47        0         0
#> 14.1  12.89      1  21        0         0
#> 130.2 16.47      1  53        0         1
#> 155   13.08      1  26        0         0
#> 57    14.46      1  45        0         1
#> 154   12.63      1  20        1         0
#> 26    15.77      1  49        0         1
#> 145   10.07      1  65        1         0
#> 187    9.92      1  39        1         0
#> 55.2  19.34      1  69        0         1
#> 5     16.43      1  51        0         1
#> 15.1  22.68      1  48        0         0
#> 14.2  12.89      1  21        0         0
#> 145.1 10.07      1  65        1         0
#> 29    15.45      1  68        1         0
#> 70     7.38      1  30        1         0
#> 166.3 19.98      1  48        0         0
#> 125.3 15.65      1  67        1         0
#> 130.3 16.47      1  53        0         1
#> 177   12.53      1  75        0         0
#> 43.1  12.10      1  61        0         1
#> 197.1 21.60      1  69        1         0
#> 168   23.72      1  70        0         0
#> 37    12.52      1  57        1         0
#> 105   19.75      1  60        0         0
#> 164   23.60      1  76        0         1
#> 50    10.02      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 153.1 21.33      1  55        1         0
#> 63.3  22.77      1  31        1         0
#> 133   14.65      1  57        0         0
#> 51    18.23      1  83        0         1
#> 199   19.81      1  NA        0         1
#> 198   24.00      0  66        0         1
#> 98    24.00      0  34        1         0
#> 27    24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 2     24.00      0   9        0         0
#> 137   24.00      0  45        1         0
#> 143   24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 103   24.00      0  56        1         0
#> 84    24.00      0  39        0         1
#> 44    24.00      0  56        0         0
#> 178   24.00      0  52        1         0
#> 126   24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 120   24.00      0  68        0         1
#> 54    24.00      0  53        1         0
#> 3     24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 94    24.00      0  51        0         1
#> 9     24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 143.2 24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 182   24.00      0  35        0         0
#> 152   24.00      0  36        0         1
#> 185   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 200   24.00      0  64        0         0
#> 196   24.00      0  19        0         0
#> 147   24.00      0  76        1         0
#> 48.1  24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 11    24.00      0  42        0         1
#> 122   24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 53.1  24.00      0  32        0         1
#> 112   24.00      0  61        0         0
#> 83.1  24.00      0   6        0         0
#> 163.1 24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 94.1  24.00      0  51        0         1
#> 38    24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 44.1  24.00      0  56        0         0
#> 95.2  24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 20    24.00      0  46        1         0
#> 31    24.00      0  36        0         1
#> 135   24.00      0  58        1         0
#> 163.2 24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 11.1  24.00      0  42        0         1
#> 74    24.00      0  43        0         1
#> 28.1  24.00      0  67        1         0
#> 80.1  24.00      0  41        0         0
#> 54.1  24.00      0  53        1         0
#> 176   24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 115   24.00      0  NA        1         0
#> 98.1  24.00      0  34        1         0
#> 131   24.00      0  66        0         0
#> 141.1 24.00      0  44        1         0
#> 196.1 24.00      0  19        0         0
#> 72    24.00      0  40        0         1
#> 64    24.00      0  43        0         0
#> 174   24.00      0  49        1         0
#> 83.2  24.00      0   6        0         0
#> 104   24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 173   24.00      0  19        0         1
#> 94.2  24.00      0  51        0         1
#> 193   24.00      0  45        0         1
#> 152.1 24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 27.1  24.00      0  63        1         0
#> 102   24.00      0  49        0         0
#> 17    24.00      0  38        0         1
#> 131.1 24.00      0  66        0         0
#> 165.1 24.00      0  47        0         0
#> 54.2  24.00      0  53        1         0
#> 82    24.00      0  34        0         0
#> 132.1 24.00      0  55        0         0
#> 119   24.00      0  17        0         0
#> 22    24.00      0  52        1         0
#> 173.1 24.00      0  19        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.569          NA        NA      NA
#> 2 age, Cure model          0.00943        NA        NA      NA
#> 3 grade_ii, Cure model     0.340          NA        NA      NA
#> 4 grade_iii, Cure model    0.714          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00417        NA        NA      NA
#> 2 grade_ii, Survival model   0.391          NA        NA      NA
#> 3 grade_iii, Survival model  0.336          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.568553          0.009425          0.339666          0.714418  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 259.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.568553324      0.009425192      0.339666260      0.714418263 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004168651      0.391052875      0.336286128 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.35313418 0.45353712 0.66191793 0.60873641 0.80121326 0.87286867
#>   [7] 0.74702284 0.69849214 0.69849214 0.93494592 0.14064588 0.97682546
#>  [13] 0.49926052 0.14064588 0.60066808 0.63919376 0.49926052 0.55125110
#>  [19] 0.91048034 0.44397277 0.68382771 0.29502896 0.45353712 0.88550199
#>  [25] 0.72616646 0.59251060 0.63919376 0.66191793 0.96503751 0.60873641
#>  [31] 0.45353712 0.49926052 0.20629504 0.84046312 0.28197936 0.53376035
#>  [37] 0.93494592 0.97682546 0.86645387 0.69849214 0.17393124 0.66191793
#>  [43] 0.20629504 0.80121326 0.20629504 0.25623848 0.41527075 0.80121326
#>  [49] 0.99420152 0.82085964 0.29502896 0.74702284 0.43436258 0.90425203
#>  [55] 0.91048034 0.76743357 0.55983811 0.58432048 0.39506282 0.41527075
#>  [61] 0.34153664 0.40525797 0.97682546 0.55983811 0.11908767 0.87286867
#>  [67] 0.55983811 0.72616646 0.96503751 0.76743357 0.02780261 0.32966729
#>  [73] 0.17393124 0.37460215 0.89799187 0.29502896 0.76061839 0.82085964
#>  [79] 0.60873641 0.79448101 0.78774223 0.84700343 0.69118781 0.92278924
#>  [85] 0.94703044 0.49926052 0.65435655 0.25623848 0.82085964 0.92278924
#>  [91] 0.74009074 0.95906314 0.45353712 0.69849214 0.60873641 0.85351323
#>  [97] 0.88550199 0.35313418 0.06413723 0.86000485 0.48994416 0.09515210
#> [103] 0.95306354 0.37460215 0.20629504 0.78096352 0.54257467 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>   197   166   188   130   123    49    18   125 125.1   101    92    91    55 
#> 21.60 19.98 16.16 16.47 13.00 12.19 15.21 15.65 15.65  9.97 22.92  5.33 19.34 
#>  92.1   106   181  55.1    40    61   150   100   194 166.1    43     6    23 
#> 22.92 16.67 16.46 19.34 18.00 10.12 20.33 16.07 22.40 19.98 12.10 15.64 16.92 
#> 181.1 188.1    77 130.1 166.2    58    63   140   169   179 101.1  91.1    42 
#> 16.46 16.16  7.27 16.47 19.98 19.34 22.77 12.68 22.41 18.63  9.97  5.33 12.43 
#> 125.2   113 188.2  63.1 123.1  63.2    15   190 123.2   127    14 194.1  18.1 
#> 15.65 22.86 16.16 22.77 13.00 22.77 22.68 20.81 13.00  3.53 12.89 22.40 15.21 
#>    68    52  61.1   180   134    45    99 190.1   136    90  91.2 134.1    69 
#> 20.62 10.42 10.12 14.82 17.81 17.42 21.19 20.81 21.83 20.94  5.33 17.81 23.23 
#>  49.1 134.2   6.1  77.1 180.1    78    66 113.1   153    10 194.2   157  14.1 
#> 12.19 17.81 15.64  7.27 14.82 23.88 22.13 22.86 21.33 10.53 22.40 15.10 12.89 
#> 130.2   155    57   154    26   145   187  55.2     5  15.1  14.2 145.1    29 
#> 16.47 13.08 14.46 12.63 15.77 10.07  9.92 19.34 16.43 22.68 12.89 10.07 15.45 
#>    70 166.3 125.3 130.3   177  43.1 197.1   168    37   105   164    16 153.1 
#>  7.38 19.98 15.65 16.47 12.53 12.10 21.60 23.72 12.52 19.75 23.60  8.71 21.33 
#>  63.3   133    51   198    98    27    53     2   137   143 143.1    83   103 
#> 22.77 14.65 18.23 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84    44   178   126   120    54     3   132    94     9    21   163    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.2    67   182   152   185    80   200   196   147  48.1    28    11   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141  53.1   112  83.1 163.1    95  94.1    38  95.1  44.1  95.2    34    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   135 163.2    62  11.1    74  28.1  80.1  54.1   176   156  98.1   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.1 196.1    72    64   174  83.2   104   165   173  94.2   193 152.1    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1   102    17 131.1 165.1  54.2    82 132.1   119    22 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[4]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01632662                0.64737744                0.63293589 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.183232357             0.000561928             0.265419672 
#>   grade_iii, Cure model 
#>             0.926240491 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 187    9.92      1  39        1         0
#> 139   21.49      1  63        1         0
#> 106   16.67      1  49        1         0
#> 91     5.33      1  61        0         1
#> 181   16.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 107   11.18      1  54        1         0
#> 184   17.77      1  38        0         0
#> 81    14.06      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 14    12.89      1  21        0         0
#> 184.1 17.77      1  38        0         0
#> 145   10.07      1  65        1         0
#> 123   13.00      1  44        1         0
#> 150   20.33      1  48        0         0
#> 88    18.37      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 175   21.91      1  43        0         0
#> 192   16.44      1  31        1         0
#> 45    17.42      1  54        0         1
#> 188   16.16      1  46        0         1
#> 168   23.72      1  70        0         0
#> 52    10.42      1  52        0         1
#> 86    23.81      1  58        0         1
#> 101    9.97      1  10        0         1
#> 192.1 16.44      1  31        1         0
#> 63    22.77      1  31        1         0
#> 180   14.82      1  37        0         0
#> 171   16.57      1  41        0         1
#> 55    19.34      1  69        0         1
#> 63.1  22.77      1  31        1         0
#> 61    10.12      1  36        0         1
#> 66    22.13      1  53        0         0
#> 58    19.34      1  39        0         0
#> 145.1 10.07      1  65        1         0
#> 93    10.33      1  52        0         1
#> 78    23.88      1  43        0         0
#> 101.1  9.97      1  10        0         1
#> 199   19.81      1  NA        0         1
#> 15    22.68      1  48        0         0
#> 85    16.44      1  36        0         0
#> 195   11.76      1  NA        1         0
#> 88.1  18.37      1  47        0         0
#> 149    8.37      1  33        1         0
#> 157   15.10      1  47        0         0
#> 96    14.54      1  33        0         1
#> 123.1 13.00      1  44        1         0
#> 79    16.23      1  54        1         0
#> 197   21.60      1  69        1         0
#> 91.1   5.33      1  61        0         1
#> 180.1 14.82      1  37        0         0
#> 61.1  10.12      1  36        0         1
#> 40    18.00      1  28        1         0
#> 190   20.81      1  42        1         0
#> 76    19.22      1  54        0         1
#> 125   15.65      1  67        1         0
#> 86.1  23.81      1  58        0         1
#> 55.1  19.34      1  69        0         1
#> 189   10.51      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 145.2 10.07      1  65        1         0
#> 52.1  10.42      1  52        0         1
#> 41    18.02      1  40        1         0
#> 133   14.65      1  57        0         0
#> 25     6.32      1  34        1         0
#> 25.1   6.32      1  34        1         0
#> 10    10.53      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 43    12.10      1  61        0         1
#> 101.2  9.97      1  10        0         1
#> 58.1  19.34      1  39        0         0
#> 175.1 21.91      1  43        0         0
#> 175.2 21.91      1  43        0         0
#> 61.2  10.12      1  36        0         1
#> 68    20.62      1  44        0         0
#> 10.1  10.53      1  34        0         0
#> 133.1 14.65      1  57        0         0
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 40.1  18.00      1  28        1         0
#> 187.1  9.92      1  39        1         0
#> 59    10.16      1  NA        1         0
#> 68.1  20.62      1  44        0         0
#> 68.2  20.62      1  44        0         0
#> 24    23.89      1  38        0         0
#> 170   19.54      1  43        0         1
#> 100   16.07      1  60        0         0
#> 188.1 16.16      1  46        0         1
#> 37    12.52      1  57        1         0
#> 110.1 17.56      1  65        0         1
#> 107.1 11.18      1  54        1         0
#> 96.1  14.54      1  33        0         1
#> 164   23.60      1  76        0         1
#> 100.1 16.07      1  60        0         0
#> 171.1 16.57      1  41        0         1
#> 39    15.59      1  37        0         1
#> 68.3  20.62      1  44        0         0
#> 77     7.27      1  67        0         1
#> 157.1 15.10      1  47        0         0
#> 170.1 19.54      1  43        0         1
#> 66.1  22.13      1  53        0         0
#> 14.1  12.89      1  21        0         0
#> 110.2 17.56      1  65        0         1
#> 127    3.53      1  62        0         1
#> 183    9.24      1  67        1         0
#> 170.2 19.54      1  43        0         1
#> 8     18.43      1  32        0         0
#> 187.2  9.92      1  39        1         0
#> 76.1  19.22      1  54        0         1
#> 39.1  15.59      1  37        0         1
#> 134   17.81      1  47        1         0
#> 31    24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 178   24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 174   24.00      0  49        1         0
#> 35    24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 174.1 24.00      0  49        1         0
#> 80    24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 94    24.00      0  51        0         1
#> 65    24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 48    24.00      0  31        1         0
#> 35.1  24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 65.1  24.00      0  57        1         0
#> 115   24.00      0  NA        1         0
#> 103   24.00      0  56        1         0
#> 71    24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 27    24.00      0  63        1         0
#> 33    24.00      0  53        0         0
#> 104.1 24.00      0  50        1         0
#> 35.2  24.00      0  51        0         0
#> 71.1  24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 165.1 24.00      0  47        0         0
#> 53    24.00      0  32        0         1
#> 121   24.00      0  57        1         0
#> 84    24.00      0  39        0         1
#> 83    24.00      0   6        0         0
#> 87    24.00      0  27        0         0
#> 152   24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 198   24.00      0  66        0         1
#> 21    24.00      0  47        0         0
#> 196   24.00      0  19        0         0
#> 147   24.00      0  76        1         0
#> 163   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 109.1 24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 64    24.00      0  43        0         0
#> 174.2 24.00      0  49        1         0
#> 83.1  24.00      0   6        0         0
#> 173   24.00      0  19        0         1
#> 120   24.00      0  68        0         1
#> 131.1 24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 84.1  24.00      0  39        0         1
#> 62    24.00      0  71        0         0
#> 27.1  24.00      0  63        1         0
#> 132   24.00      0  55        0         0
#> 67    24.00      0  25        0         0
#> 146   24.00      0  63        1         0
#> 191   24.00      0  60        0         1
#> 165.2 24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 83.2  24.00      0   6        0         0
#> 162   24.00      0  51        0         0
#> 84.2  24.00      0  39        0         1
#> 44.1  24.00      0  56        0         0
#> 71.2  24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 165.3 24.00      0  47        0         0
#> 163.1 24.00      0  66        0         0
#> 196.1 24.00      0  19        0         0
#> 98    24.00      0  34        1         0
#> 11    24.00      0  42        0         1
#> 21.1  24.00      0  47        0         0
#> 103.1 24.00      0  56        1         0
#> 176.1 24.00      0  43        0         1
#> 7     24.00      0  37        1         0
#> 19    24.00      0  57        0         1
#> 151   24.00      0  42        0         0
#> 102   24.00      0  49        0         0
#> 109.2 24.00      0  48        0         0
#> 115.1 24.00      0  NA        1         0
#> 173.2 24.00      0  19        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.183           NA        NA      NA
#> 2 age, Cure model          0.000562        NA        NA      NA
#> 3 grade_ii, Cure model     0.265           NA        NA      NA
#> 4 grade_iii, Cure model    0.926           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0163        NA        NA      NA
#> 2 grade_ii, Survival model    0.647         NA        NA      NA
#> 3 grade_iii, Survival model   0.633         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.1832324         0.0005619         0.2654197         0.9262405  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 255.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.183232357      0.000561928      0.265419672      0.926240491 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01632662       0.64737744       0.63293589 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8658629968 0.0598690886 0.3407492783 0.9630568587 0.3715755820
#>   [6] 0.0663363004 0.6710658066 0.2811063089 0.5885475007 0.6235731040
#>  [11] 0.2811063089 0.7927204714 0.6002784889 0.1069439764 0.2140622772
#>  [16] 0.2331513640 0.0375876457 0.3819802090 0.3304306396 0.4229454138
#>  [21] 0.0087520064 0.7193666888 0.0039253734 0.8297745601 0.3819802090
#>  [26] 0.0168199806 0.5198404980 0.3511123585 0.1374265462 0.0168199806
#>  [31] 0.7562444116 0.0281995938 0.1374265462 0.7927204714 0.7438568781
#>  [36] 0.0014913517 0.8297745601 0.0239472199 0.3819802090 0.2140622772
#>  [41] 0.9141833320 0.4977302939 0.5655129697 0.6002784889 0.4124667362
#>  [46] 0.0536163953 0.9630568587 0.5198404980 0.7562444116 0.2526535252
#>  [51] 0.0729113511 0.1695748318 0.4651961571 0.0039253734 0.1374265462
#>  [56] 0.3006298494 0.7927204714 0.7193666888 0.2429013084 0.5423855734
#>  [61] 0.9387011789 0.9387011789 0.6950374984 0.6590613805 0.8297745601
#>  [66] 0.1374265462 0.0375876457 0.0375876457 0.7562444116 0.0795091725
#>  [71] 0.6950374984 0.5423855734 0.1868740800 0.1868740800 0.2526535252
#>  [76] 0.8658629968 0.0795091725 0.0795091725 0.0002322339 0.1148913706
#>  [81] 0.4437567739 0.4229454138 0.6471231507 0.3006298494 0.6710658066
#>  [86] 0.5655129697 0.0124877336 0.4437567739 0.3511123585 0.4761341392
#>  [91] 0.0795091725 0.9264123001 0.4977302939 0.1148913706 0.0281995938
#>  [96] 0.6235731040 0.3006298494 0.9876015162 0.9019355720 0.1148913706
#> [101] 0.2047506474 0.8658629968 0.1695748318 0.4761341392 0.2714836378
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000
#> 
#> $Time
#>   187   139   106    91   181    90   107   184    81    14 184.1   145   123 
#>  9.92 21.49 16.67  5.33 16.46 20.94 11.18 17.77 14.06 12.89 17.77 10.07 13.00 
#>   150    88   108   175   192    45   188   168    52    86   101 192.1    63 
#> 20.33 18.37 18.29 21.91 16.44 17.42 16.16 23.72 10.42 23.81  9.97 16.44 22.77 
#>   180   171    55  63.1    61    66    58 145.1    93    78 101.1    15    85 
#> 14.82 16.57 19.34 22.77 10.12 22.13 19.34 10.07 10.33 23.88  9.97 22.68 16.44 
#>  88.1   149   157    96 123.1    79   197  91.1 180.1  61.1    40   190    76 
#> 18.37  8.37 15.10 14.54 13.00 16.23 21.60  5.33 14.82 10.12 18.00 20.81 19.22 
#>   125  86.1  55.1   110 145.2  52.1    41   133    25  25.1    10    43 101.2 
#> 15.65 23.81 19.34 17.56 10.07 10.42 18.02 14.65  6.32  6.32 10.53 12.10  9.97 
#>  58.1 175.1 175.2  61.2    68  10.1 133.1    97  97.1  40.1 187.1  68.1  68.2 
#> 19.34 21.91 21.91 10.12 20.62 10.53 14.65 19.14 19.14 18.00  9.92 20.62 20.62 
#>    24   170   100 188.1    37 110.1 107.1  96.1   164 100.1 171.1    39  68.3 
#> 23.89 19.54 16.07 16.16 12.52 17.56 11.18 14.54 23.60 16.07 16.57 15.59 20.62 
#>    77 157.1 170.1  66.1  14.1 110.2   127   183 170.2     8 187.2  76.1  39.1 
#>  7.27 15.10 19.54 22.13 12.89 17.56  3.53  9.24 19.54 18.43  9.92 19.22 15.59 
#>   134    31   176    17   178   193   174    35    44 174.1    80   131   112 
#> 17.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    65   135    48  35.1   104  65.1   103    71     1    27    33 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.2  71.1   165   109 165.1    53   121    84    83    87   152    82   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   196   147   163   185   118 109.1   119    64 174.2  83.1   173   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1   141   160    12  84.1    62  27.1   132    67   146   191 165.2   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1  83.2   162  84.2  44.1  71.2 185.1 146.1 165.3 163.1 196.1    98    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1 103.1 176.1     7    19   151   102 109.2 173.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[5]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003275168               0.857261310               0.769780600 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.303115069             0.009064013             0.307071042 
#>   grade_iii, Cure model 
#>             0.047434530 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 77     7.27      1  67        0         1
#> 10    10.53      1  34        0         0
#> 171   16.57      1  41        0         1
#> 105   19.75      1  60        0         0
#> 133   14.65      1  57        0         0
#> 106   16.67      1  49        1         0
#> 79    16.23      1  54        1         0
#> 197   21.60      1  69        1         0
#> 59    10.16      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 56    12.21      1  60        0         0
#> 199   19.81      1  NA        0         1
#> 136   21.83      1  43        0         1
#> 88    18.37      1  47        0         0
#> 183    9.24      1  67        1         0
#> 49    12.19      1  48        1         0
#> 56.1  12.21      1  60        0         0
#> 68    20.62      1  44        0         0
#> 85    16.44      1  36        0         0
#> 113   22.86      1  34        0         0
#> 15    22.68      1  48        0         0
#> 52    10.42      1  52        0         1
#> 14    12.89      1  21        0         0
#> 55    19.34      1  69        0         1
#> 66    22.13      1  53        0         0
#> 66.1  22.13      1  53        0         0
#> 14.1  12.89      1  21        0         0
#> 167   15.55      1  56        1         0
#> 197.1 21.60      1  69        1         0
#> 76    19.22      1  54        0         1
#> 5     16.43      1  51        0         1
#> 29    15.45      1  68        1         0
#> 96    14.54      1  33        0         1
#> 93    10.33      1  52        0         1
#> 157   15.10      1  47        0         0
#> 181   16.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 24    23.89      1  38        0         0
#> 40    18.00      1  28        1         0
#> 52.1  10.42      1  52        0         1
#> 197.2 21.60      1  69        1         0
#> 139   21.49      1  63        1         0
#> 190   20.81      1  42        1         0
#> 96.1  14.54      1  33        0         1
#> 195   11.76      1  NA        1         0
#> 5.1   16.43      1  51        0         1
#> 111.1 17.45      1  47        0         1
#> 101    9.97      1  10        0         1
#> 105.1 19.75      1  60        0         0
#> 23    16.92      1  61        0         0
#> 60    13.15      1  38        1         0
#> 113.1 22.86      1  34        0         0
#> 150   20.33      1  48        0         0
#> 57    14.46      1  45        0         1
#> 153   21.33      1  55        1         0
#> 177   12.53      1  75        0         0
#> 40.1  18.00      1  28        1         0
#> 41    18.02      1  40        1         0
#> 145   10.07      1  65        1         0
#> 88.1  18.37      1  47        0         0
#> 166   19.98      1  48        0         0
#> 97    19.14      1  65        0         1
#> 42    12.43      1  49        0         1
#> 169   22.41      1  46        0         0
#> 89    11.44      1  NA        0         0
#> 49.1  12.19      1  48        1         0
#> 171.1 16.57      1  41        0         1
#> 76.1  19.22      1  54        0         1
#> 192   16.44      1  31        1         0
#> 25     6.32      1  34        1         0
#> 78    23.88      1  43        0         0
#> 58    19.34      1  39        0         0
#> 199.1 19.81      1  NA        0         1
#> 129   23.41      1  53        1         0
#> 123   13.00      1  44        1         0
#> 106.1 16.67      1  49        1         0
#> 37    12.52      1  57        1         0
#> 184   17.77      1  38        0         0
#> 168   23.72      1  70        0         0
#> 111.2 17.45      1  47        0         1
#> 42.1  12.43      1  49        0         1
#> 79.1  16.23      1  54        1         0
#> 6     15.64      1  39        0         0
#> 70     7.38      1  30        1         0
#> 192.1 16.44      1  31        1         0
#> 24.1  23.89      1  38        0         0
#> 91     5.33      1  61        0         1
#> 117   17.46      1  26        0         1
#> 25.1   6.32      1  34        1         0
#> 140   12.68      1  59        1         0
#> 180   14.82      1  37        0         0
#> 108   18.29      1  39        0         1
#> 13    14.34      1  54        0         1
#> 23.1  16.92      1  61        0         0
#> 159   10.55      1  50        0         1
#> 92    22.92      1  47        0         1
#> 167.1 15.55      1  56        1         0
#> 58.1  19.34      1  39        0         0
#> 179   18.63      1  42        0         0
#> 111.3 17.45      1  47        0         1
#> 188   16.16      1  46        0         1
#> 24.2  23.89      1  38        0         0
#> 166.1 19.98      1  48        0         0
#> 92.1  22.92      1  47        0         1
#> 69    23.23      1  25        0         1
#> 39    15.59      1  37        0         1
#> 29.1  15.45      1  68        1         0
#> 169.1 22.41      1  46        0         0
#> 106.2 16.67      1  49        1         0
#> 154   12.63      1  20        1         0
#> 154.1 12.63      1  20        1         0
#> 52.2  10.42      1  52        0         1
#> 109   24.00      0  48        0         0
#> 75    24.00      0  21        1         0
#> 1     24.00      0  23        1         0
#> 80    24.00      0  41        0         0
#> 80.1  24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 95    24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 151   24.00      0  42        0         0
#> 27    24.00      0  63        1         0
#> 200   24.00      0  64        0         0
#> 72    24.00      0  40        0         1
#> 116   24.00      0  58        0         1
#> 143   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 165   24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 162   24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 17    24.00      0  38        0         1
#> 84.1  24.00      0  39        0         1
#> 74    24.00      0  43        0         1
#> 178   24.00      0  52        1         0
#> 178.1 24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 172   24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 102   24.00      0  49        0         0
#> 53    24.00      0  32        0         1
#> 144   24.00      0  28        0         1
#> 2     24.00      0   9        0         0
#> 122   24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 163   24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 95.1  24.00      0  68        0         1
#> 118   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 84.2  24.00      0  39        0         1
#> 131   24.00      0  66        0         0
#> 172.1 24.00      0  41        0         0
#> 182   24.00      0  35        0         0
#> 148   24.00      0  61        1         0
#> 38    24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 73.1  24.00      0  NA        0         1
#> 47    24.00      0  38        0         1
#> 87    24.00      0  27        0         0
#> 21.1  24.00      0  47        0         0
#> 11.1  24.00      0  42        0         1
#> 64    24.00      0  43        0         0
#> 178.2 24.00      0  52        1         0
#> 53.1  24.00      0  32        0         1
#> 2.1   24.00      0   9        0         0
#> 1.1   24.00      0  23        1         0
#> 65    24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 82    24.00      0  34        0         0
#> 200.1 24.00      0  64        0         0
#> 9     24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 144.1 24.00      0  28        0         1
#> 178.3 24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 146   24.00      0  63        1         0
#> 35.1  24.00      0  51        0         0
#> 191.1 24.00      0  60        0         1
#> 72.2  24.00      0  40        0         1
#> 119   24.00      0  17        0         0
#> 53.2  24.00      0  32        0         1
#> 109.1 24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 47.1  24.00      0  38        0         1
#> 146.1 24.00      0  63        1         0
#> 19    24.00      0  57        0         1
#> 11.2  24.00      0  42        0         1
#> 200.2 24.00      0  64        0         0
#> 120   24.00      0  68        0         1
#> 1.2   24.00      0  23        1         0
#> 176   24.00      0  43        0         1
#> 162.1 24.00      0  51        0         0
#> 28.1  24.00      0  67        1         0
#> 74.1  24.00      0  43        0         1
#> 87.1  24.00      0  27        0         0
#> 160   24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 35.2  24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.303          NA        NA      NA
#> 2 age, Cure model          0.00906        NA        NA      NA
#> 3 grade_ii, Cure model     0.307          NA        NA      NA
#> 4 grade_iii, Cure model    0.0474         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00328        NA        NA      NA
#> 2 grade_ii, Survival model   0.857          NA        NA      NA
#> 3 grade_iii, Survival model  0.770          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.303115          0.009064          0.307071          0.047435  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 263.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.303115069      0.009064013      0.307071042      0.047434530 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003275168      0.857261310      0.769780600 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.97586012 0.91940151 0.63364960 0.38769766 0.77760536 0.60882287
#>   [7] 0.69683651 0.27925134 0.55735882 0.88693193 0.26612829 0.48045358
#>  [13] 0.96353172 0.90004025 0.88693193 0.34546332 0.65803466 0.16146351
#>  [19] 0.18669366 0.92584996 0.82671612 0.40897852 0.22591274 0.22591274
#>  [25] 0.82671612 0.73438674 0.27925134 0.44009658 0.68143733 0.74892535
#>  [31] 0.78481419 0.94473906 0.76321810 0.64993068 0.25241331 0.01986803
#>  [37] 0.52024183 0.92584996 0.27925134 0.31283695 0.33494930 0.78481419
#>  [43] 0.68143733 0.55735882 0.95730962 0.38769766 0.59143826 0.81293886
#>  [49] 0.16146351 0.35602049 0.79892360 0.32407564 0.86051850 0.52024183
#>  [55] 0.51048656 0.95104313 0.48045358 0.36662341 0.46031413 0.87385809
#>  [61] 0.19990129 0.90004025 0.63364960 0.44009658 0.65803466 0.98197381
#>  [67] 0.06166055 0.40897852 0.10331741 0.81985760 0.60882287 0.86721280
#>  [73] 0.53877758 0.08193546 0.55735882 0.87385809 0.69683651 0.71942010
#>  [79] 0.96971818 0.65803466 0.01986803 0.99399773 0.54814559 0.98197381
#>  [85] 0.84039128 0.77040789 0.50052818 0.80595589 0.59143826 0.91295783
#>  [91] 0.13664897 0.73438674 0.40897852 0.47037000 0.55735882 0.71191103
#>  [97] 0.01986803 0.36662341 0.13664897 0.12110907 0.72693858 0.74892535
#> [103] 0.19990129 0.60882287 0.84720444 0.84720444 0.92584996 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    77    10   171   105   133   106    79   197   111    56   136    88   183 
#>  7.27 10.53 16.57 19.75 14.65 16.67 16.23 21.60 17.45 12.21 21.83 18.37  9.24 
#>    49  56.1    68    85   113    15    52    14    55    66  66.1  14.1   167 
#> 12.19 12.21 20.62 16.44 22.86 22.68 10.42 12.89 19.34 22.13 22.13 12.89 15.55 
#> 197.1    76     5    29    96    93   157   181   175    24    40  52.1 197.2 
#> 21.60 19.22 16.43 15.45 14.54 10.33 15.10 16.46 21.91 23.89 18.00 10.42 21.60 
#>   139   190  96.1   5.1 111.1   101 105.1    23    60 113.1   150    57   153 
#> 21.49 20.81 14.54 16.43 17.45  9.97 19.75 16.92 13.15 22.86 20.33 14.46 21.33 
#>   177  40.1    41   145  88.1   166    97    42   169  49.1 171.1  76.1   192 
#> 12.53 18.00 18.02 10.07 18.37 19.98 19.14 12.43 22.41 12.19 16.57 19.22 16.44 
#>    25    78    58   129   123 106.1    37   184   168 111.2  42.1  79.1     6 
#>  6.32 23.88 19.34 23.41 13.00 16.67 12.52 17.77 23.72 17.45 12.43 16.23 15.64 
#>    70 192.1  24.1    91   117  25.1   140   180   108    13  23.1   159    92 
#>  7.38 16.44 23.89  5.33 17.46  6.32 12.68 14.82 18.29 14.34 16.92 10.55 22.92 
#> 167.1  58.1   179 111.3   188  24.2 166.1  92.1    69    39  29.1 169.1 106.2 
#> 15.55 19.34 18.63 17.45 16.16 23.89 19.98 22.92 23.23 15.59 15.45 22.41 16.67 
#>   154 154.1  52.2   109    75     1    80  80.1   147    95   132   151    27 
#> 12.63 12.63 10.42 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200    72   116   143    11   165    84   162    35    17  84.1    74   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1   193   172   191   102    53   144     2   122    34   163    31  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    21  84.2   131 172.1   182   148    38  72.1    47    87  21.1  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 178.2  53.1   2.1   1.1    65    28    82 200.1     9   112 144.1 178.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   146  35.1 191.1  72.2   119  53.2 109.1   156  47.1 146.1    19  11.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.2   120   1.2   176 162.1  28.1  74.1  87.1   160   9.1  35.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[6]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009727393               0.114200127               0.544956793 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.54919094              0.02695659              0.56658166 
#>   grade_iii, Cure model 
#>              0.72500753 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 51    18.23      1  83        0         1
#> 154   12.63      1  20        1         0
#> 189   10.51      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 14    12.89      1  21        0         0
#> 13    14.34      1  54        0         1
#> 101    9.97      1  10        0         1
#> 199   19.81      1  NA        0         1
#> 15    22.68      1  48        0         0
#> 18    15.21      1  49        1         0
#> 187    9.92      1  39        1         0
#> 111   17.45      1  47        0         1
#> 8     18.43      1  32        0         0
#> 149    8.37      1  33        1         0
#> 114   13.68      1  NA        0         0
#> 42    12.43      1  49        0         1
#> 111.1 17.45      1  47        0         1
#> 170.1 19.54      1  43        0         1
#> 158   20.14      1  74        1         0
#> 78    23.88      1  43        0         0
#> 32    20.90      1  37        1         0
#> 77     7.27      1  67        0         1
#> 10    10.53      1  34        0         0
#> 180   14.82      1  37        0         0
#> 91     5.33      1  61        0         1
#> 107   11.18      1  54        1         0
#> 68    20.62      1  44        0         0
#> 78.1  23.88      1  43        0         0
#> 129   23.41      1  53        1         0
#> 45    17.42      1  54        0         1
#> 55    19.34      1  69        0         1
#> 157   15.10      1  47        0         0
#> 56    12.21      1  60        0         0
#> 85    16.44      1  36        0         0
#> 45.1  17.42      1  54        0         1
#> 129.1 23.41      1  53        1         0
#> 89    11.44      1  NA        0         0
#> 77.1   7.27      1  67        0         1
#> 51.1  18.23      1  83        0         1
#> 58    19.34      1  39        0         0
#> 167   15.55      1  56        1         0
#> 197   21.60      1  69        1         0
#> 37    12.52      1  57        1         0
#> 42.1  12.43      1  49        0         1
#> 26    15.77      1  49        0         1
#> 114.1 13.68      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 91.1   5.33      1  61        0         1
#> 192   16.44      1  31        1         0
#> 149.1  8.37      1  33        1         0
#> 189.1 10.51      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 170.2 19.54      1  43        0         1
#> 16     8.71      1  71        0         1
#> 45.2  17.42      1  54        0         1
#> 123   13.00      1  44        1         0
#> 13.1  14.34      1  54        0         1
#> 197.1 21.60      1  69        1         0
#> 55.1  19.34      1  69        0         1
#> 129.2 23.41      1  53        1         0
#> 59    10.16      1  NA        1         0
#> 16.1   8.71      1  71        0         1
#> 41    18.02      1  40        1         0
#> 50    10.02      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 194   22.40      1  38        0         1
#> 197.2 21.60      1  69        1         0
#> 107.1 11.18      1  54        1         0
#> 108   18.29      1  39        0         1
#> 167.1 15.55      1  56        1         0
#> 188   16.16      1  46        0         1
#> 55.2  19.34      1  69        0         1
#> 187.1  9.92      1  39        1         0
#> 15.1  22.68      1  48        0         0
#> 114.2 13.68      1  NA        0         0
#> 140   12.68      1  59        1         0
#> 101.1  9.97      1  10        0         1
#> 130   16.47      1  53        0         1
#> 140.1 12.68      1  59        1         0
#> 177   12.53      1  75        0         0
#> 66    22.13      1  53        0         0
#> 70     7.38      1  30        1         0
#> 6     15.64      1  39        0         0
#> 5     16.43      1  51        0         1
#> 77.2   7.27      1  67        0         1
#> 52    10.42      1  52        0         1
#> 61    10.12      1  36        0         1
#> 184   17.77      1  38        0         0
#> 23    16.92      1  61        0         0
#> 70.1   7.38      1  30        1         0
#> 194.1 22.40      1  38        0         1
#> 139   21.49      1  63        1         0
#> 23.1  16.92      1  61        0         0
#> 23.2  16.92      1  61        0         0
#> 129.3 23.41      1  53        1         0
#> 155   13.08      1  26        0         0
#> 59.1  10.16      1  NA        1         0
#> 157.1 15.10      1  47        0         0
#> 110   17.56      1  65        0         1
#> 190   20.81      1  42        1         0
#> 181   16.46      1  45        0         1
#> 5.1   16.43      1  51        0         1
#> 89.1  11.44      1  NA        0         0
#> 93    10.33      1  52        0         1
#> 96    14.54      1  33        0         1
#> 159   10.55      1  50        0         1
#> 129.4 23.41      1  53        1         0
#> 49    12.19      1  48        1         0
#> 92    22.92      1  47        0         1
#> 181.1 16.46      1  45        0         1
#> 52.1  10.42      1  52        0         1
#> 133   14.65      1  57        0         0
#> 186   24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 35    24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 144   24.00      0  28        0         1
#> 122   24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 19    24.00      0  57        0         1
#> 19.1  24.00      0  57        0         1
#> 109   24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 54    24.00      0  53        1         0
#> 75    24.00      0  21        1         0
#> 141   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 186.1 24.00      0  45        1         0
#> 152   24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 193   24.00      0  45        0         1
#> 47    24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 7.1   24.00      0  37        1         0
#> 35.1  24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 67    24.00      0  25        0         0
#> 138.1 24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 94    24.00      0  51        0         1
#> 98    24.00      0  34        1         0
#> 115.1 24.00      0  NA        1         0
#> 116   24.00      0  58        0         1
#> 35.2  24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 141.1 24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 80    24.00      0  41        0         0
#> 31    24.00      0  36        0         1
#> 47.1  24.00      0  38        0         1
#> 186.2 24.00      0  45        1         0
#> 94.1  24.00      0  51        0         1
#> 22    24.00      0  52        1         0
#> 67.1  24.00      0  25        0         0
#> 83    24.00      0   6        0         0
#> 193.1 24.00      0  45        0         1
#> 31.1  24.00      0  36        0         1
#> 152.1 24.00      0  36        0         1
#> 67.2  24.00      0  25        0         0
#> 172.1 24.00      0  41        0         0
#> 151.1 24.00      0  42        0         0
#> 65    24.00      0  57        1         0
#> 83.1  24.00      0   6        0         0
#> 75.1  24.00      0  21        1         0
#> 193.2 24.00      0  45        0         1
#> 121.1 24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 74    24.00      0  43        0         1
#> 7.2   24.00      0  37        1         0
#> 193.3 24.00      0  45        0         1
#> 196   24.00      0  19        0         0
#> 156   24.00      0  50        1         0
#> 198.1 24.00      0  66        0         1
#> 109.1 24.00      0  48        0         0
#> 62    24.00      0  71        0         0
#> 87    24.00      0  27        0         0
#> 28.1  24.00      0  67        1         0
#> 53    24.00      0  32        0         1
#> 156.1 24.00      0  50        1         0
#> 62.1  24.00      0  71        0         0
#> 102.1 24.00      0  49        0         0
#> 193.4 24.00      0  45        0         1
#> 182   24.00      0  35        0         0
#> 87.1  24.00      0  27        0         0
#> 21    24.00      0  47        0         0
#> 82.1  24.00      0  34        0         0
#> 17    24.00      0  38        0         1
#> 191   24.00      0  60        0         1
#> 163   24.00      0  66        0         0
#> 152.2 24.00      0  36        0         1
#> 115.2 24.00      0  NA        1         0
#> 161.1 24.00      0  45        0         0
#> 116.1 24.00      0  58        0         1
#> 1     24.00      0  23        1         0
#> 80.1  24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.55          NA        NA      NA
#> 2 age, Cure model           0.0270        NA        NA      NA
#> 3 grade_ii, Cure model      0.567         NA        NA      NA
#> 4 grade_iii, Cure model     0.725         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00973        NA        NA      NA
#> 2 grade_ii, Survival model   0.114          NA        NA      NA
#> 3 grade_iii, Survival model  0.545          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.54919           0.02696           0.56658           0.72501  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 244.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.54919094       0.02695659       0.56658166       0.72500753 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009727393      0.114200127      0.544956793 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.248410474 0.654488033 0.156922427 0.621083077 0.577263485 0.827145018
#>   [7] 0.043443478 0.512052676 0.849895089 0.297582347 0.229055458 0.895762483
#>  [13] 0.688540679 0.297582347 0.156922427 0.147237135 0.002735158 0.119625859
#>  [19] 0.942027689 0.768953127 0.544304970 0.976711898 0.734174408 0.137832974
#>  [25] 0.002735158 0.012497543 0.327314117 0.183608050 0.522769759 0.711157562
#>  [31] 0.418192008 0.327314117 0.012497543 0.942027689 0.248410474 0.183608050
#>  [37] 0.490975524 0.079032027 0.677111086 0.688540679 0.470057867 0.219451639
#>  [43] 0.976711898 0.418192008 0.895762483 0.317186582 0.156922427 0.872787922
#>  [49] 0.327314117 0.610015052 0.577263485 0.079032027 0.183608050 0.012497543
#>  [55] 0.872787922 0.267659412 0.110750582 0.057789479 0.079032027 0.734174408
#>  [61] 0.238768252 0.490975524 0.459618623 0.183608050 0.849895089 0.043443478
#>  [67] 0.632187669 0.827145018 0.387243985 0.632187669 0.665749794 0.071503584
#>  [73] 0.918847685 0.480480756 0.438929692 0.942027689 0.780648510 0.815508710
#>  [79] 0.277550545 0.356715587 0.918847685 0.057789479 0.102113291 0.356715587
#>  [85] 0.356715587 0.012497543 0.599000855 0.522769759 0.287551844 0.128647192
#>  [91] 0.397691495 0.438929692 0.803836593 0.566282262 0.757307625 0.012497543
#>  [97] 0.722638746 0.036514296 0.397691495 0.780648510 0.555247335 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    51   154   170    14    13   101    15    18   187   111     8   149    42 
#> 18.23 12.63 19.54 12.89 14.34  9.97 22.68 15.21  9.92 17.45 18.43  8.37 12.43 
#> 111.1 170.1   158    78    32    77    10   180    91   107    68  78.1   129 
#> 17.45 19.54 20.14 23.88 20.90  7.27 10.53 14.82  5.33 11.18 20.62 23.88 23.41 
#>    45    55   157    56    85  45.1 129.1  77.1  51.1    58   167   197    37 
#> 17.42 19.34 15.10 12.21 16.44 17.42 23.41  7.27 18.23 19.34 15.55 21.60 12.52 
#>  42.1    26    97  91.1   192 149.1    30 170.2    16  45.2   123  13.1 197.1 
#> 12.43 15.77 19.14  5.33 16.44  8.37 17.43 19.54  8.71 17.42 13.00 14.34 21.60 
#>  55.1 129.2  16.1    41   153   194 197.2 107.1   108 167.1   188  55.2 187.1 
#> 19.34 23.41  8.71 18.02 21.33 22.40 21.60 11.18 18.29 15.55 16.16 19.34  9.92 
#>  15.1   140 101.1   130 140.1   177    66    70     6     5  77.2    52    61 
#> 22.68 12.68  9.97 16.47 12.68 12.53 22.13  7.38 15.64 16.43  7.27 10.42 10.12 
#>   184    23  70.1 194.1   139  23.1  23.2 129.3   155 157.1   110   190   181 
#> 17.77 16.92  7.38 22.40 21.49 16.92 16.92 23.41 13.08 15.10 17.56 20.81 16.46 
#>   5.1    93    96   159 129.4    49    92 181.1  52.1   133   186    95    35 
#> 16.43 10.33 14.54 10.55 23.41 12.19 22.92 16.46 10.42 14.65 24.00 24.00 24.00 
#>   172   151   144   122    64    19  19.1   109   165    84    54    75   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82 186.1   152   138   121   198   193    47     7   7.1  35.1   161    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1    94    98   116  35.2   131   102 141.1    28    80    31  47.1 186.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1    22  67.1    83 193.1  31.1 152.1  67.2 172.1 151.1    65  83.1  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.2 121.1   104    74   7.2 193.3   196   156 198.1 109.1    62    87  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53 156.1  62.1 102.1 193.4   182  87.1    21  82.1    17   191   163 152.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1 116.1     1  80.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[7]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002596995               0.732392395               0.568584832 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.46622890              0.01524425             -0.60675070 
#>   grade_iii, Cure model 
#>              0.35128091 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 26    15.77      1  49        0         1
#> 52    10.42      1  52        0         1
#> 187    9.92      1  39        1         0
#> 8     18.43      1  32        0         0
#> 99    21.19      1  38        0         1
#> 25     6.32      1  34        1         0
#> 180   14.82      1  37        0         0
#> 16     8.71      1  71        0         1
#> 36    21.19      1  48        0         1
#> 197   21.60      1  69        1         0
#> 88    18.37      1  47        0         0
#> 155   13.08      1  26        0         0
#> 23    16.92      1  61        0         0
#> 79    16.23      1  54        1         0
#> 111   17.45      1  47        0         1
#> 105   19.75      1  60        0         0
#> 58    19.34      1  39        0         0
#> 183    9.24      1  67        1         0
#> 99.1  21.19      1  38        0         1
#> 129   23.41      1  53        1         0
#> 192   16.44      1  31        1         0
#> 101    9.97      1  10        0         1
#> 153   21.33      1  55        1         0
#> 133   14.65      1  57        0         0
#> 108   18.29      1  39        0         1
#> 105.1 19.75      1  60        0         0
#> 171   16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 66    22.13      1  53        0         0
#> 37    12.52      1  57        1         0
#> 195   11.76      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 105.2 19.75      1  60        0         0
#> 155.1 13.08      1  26        0         0
#> 177   12.53      1  75        0         0
#> 129.1 23.41      1  53        1         0
#> 16.1   8.71      1  71        0         1
#> 169   22.41      1  46        0         0
#> 39    15.59      1  37        0         1
#> 25.1   6.32      1  34        1         0
#> 195.1 11.76      1  NA        1         0
#> 195.2 11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 101.1  9.97      1  10        0         1
#> 50    10.02      1  NA        1         0
#> 155.2 13.08      1  26        0         0
#> 124    9.73      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 128   20.35      1  35        0         1
#> 125   15.65      1  67        1         0
#> 13    14.34      1  54        0         1
#> 41    18.02      1  40        1         0
#> 183.1  9.24      1  67        1         0
#> 133.1 14.65      1  57        0         0
#> 194   22.40      1  38        0         1
#> 41.1  18.02      1  40        1         0
#> 24.1  23.89      1  38        0         0
#> 189   10.51      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 13.1  14.34      1  54        0         1
#> 177.1 12.53      1  75        0         0
#> 56    12.21      1  60        0         0
#> 157   15.10      1  47        0         0
#> 154   12.63      1  20        1         0
#> 155.3 13.08      1  26        0         0
#> 55    19.34      1  69        0         1
#> 81    14.06      1  34        0         0
#> 96    14.54      1  33        0         1
#> 24.2  23.89      1  38        0         0
#> 50.1  10.02      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 166   19.98      1  48        0         0
#> 88.1  18.37      1  47        0         0
#> 10    10.53      1  34        0         0
#> 24.3  23.89      1  38        0         0
#> 128.1 20.35      1  35        0         1
#> 189.1 10.51      1  NA        1         0
#> 96.1  14.54      1  33        0         1
#> 49    12.19      1  48        1         0
#> 189.2 10.51      1  NA        1         0
#> 125.1 15.65      1  67        1         0
#> 49.1  12.19      1  48        1         0
#> 55.1  19.34      1  69        0         1
#> 128.2 20.35      1  35        0         1
#> 30.1  17.43      1  78        0         0
#> 86    23.81      1  58        0         1
#> 128.3 20.35      1  35        0         1
#> 136   21.83      1  43        0         1
#> 16.2   8.71      1  71        0         1
#> 159   10.55      1  50        0         1
#> 188   16.16      1  46        0         1
#> 45    17.42      1  54        0         1
#> 105.3 19.75      1  60        0         0
#> 14    12.89      1  21        0         0
#> 168.1 23.72      1  70        0         0
#> 93    10.33      1  52        0         1
#> 183.2  9.24      1  67        1         0
#> 52.1  10.42      1  52        0         1
#> 78    23.88      1  43        0         0
#> 37.1  12.52      1  57        1         0
#> 5     16.43      1  51        0         1
#> 167   15.55      1  56        1         0
#> 108.1 18.29      1  39        0         1
#> 113   22.86      1  34        0         0
#> 125.2 15.65      1  67        1         0
#> 158   20.14      1  74        1         0
#> 130   16.47      1  53        0         1
#> 150   20.33      1  48        0         0
#> 159.1 10.55      1  50        0         1
#> 23.1  16.92      1  61        0         0
#> 10.1  10.53      1  34        0         0
#> 78.1  23.88      1  43        0         0
#> 142   24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 141   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 73    24.00      0  NA        0         1
#> 198   24.00      0  66        0         1
#> 109   24.00      0  48        0         0
#> 62    24.00      0  71        0         0
#> 118   24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 98    24.00      0  34        1         0
#> 119   24.00      0  17        0         0
#> 1     24.00      0  23        1         0
#> 72    24.00      0  40        0         1
#> 156   24.00      0  50        1         0
#> 200   24.00      0  64        0         0
#> 151   24.00      0  42        0         0
#> 122.1 24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 65    24.00      0  57        1         0
#> 80    24.00      0  41        0         0
#> 104   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 17    24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 17.1  24.00      0  38        0         1
#> 172   24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 33    24.00      0  53        0         0
#> 156.1 24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 22.1  24.00      0  52        1         0
#> 141.1 24.00      0  44        1         0
#> 65.1  24.00      0  57        1         0
#> 103.1 24.00      0  56        1         0
#> 2     24.00      0   9        0         0
#> 176   24.00      0  43        0         1
#> 182   24.00      0  35        0         0
#> 162   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 182.1 24.00      0  35        0         0
#> 65.2  24.00      0  57        1         0
#> 141.2 24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 174   24.00      0  49        1         0
#> 138.1 24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 31    24.00      0  36        0         1
#> 19    24.00      0  57        0         1
#> 172.1 24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 138.2 24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 72.1  24.00      0  40        0         1
#> 196.1 24.00      0  19        0         0
#> 142.1 24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 27    24.00      0  63        1         0
#> 132   24.00      0  55        0         0
#> 34    24.00      0  36        0         0
#> 148.1 24.00      0  61        1         0
#> 191.1 24.00      0  60        0         1
#> 12    24.00      0  63        0         0
#> 119.1 24.00      0  17        0         0
#> 174.1 24.00      0  49        1         0
#> 144.1 24.00      0  28        0         1
#> 54    24.00      0  53        1         0
#> 102   24.00      0  49        0         0
#> 98.1  24.00      0  34        1         0
#> 46    24.00      0  71        0         0
#> 84.1  24.00      0  39        0         1
#> 165   24.00      0  47        0         0
#> 22.2  24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 132.1 24.00      0  55        0         0
#> 174.2 24.00      0  49        1         0
#> 104.1 24.00      0  50        1         0
#> 144.2 24.00      0  28        0         1
#> 27.1  24.00      0  63        1         0
#> 163   24.00      0  66        0         0
#> 156.2 24.00      0  50        1         0
#> 152   24.00      0  36        0         1
#> 103.2 24.00      0  56        1         0
#> 131   24.00      0  66        0         0
#> 19.1  24.00      0  57        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.466         NA        NA      NA
#> 2 age, Cure model           0.0152        NA        NA      NA
#> 3 grade_ii, Cure model     -0.607         NA        NA      NA
#> 4 grade_iii, Cure model     0.351         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00260        NA        NA      NA
#> 2 grade_ii, Survival model   0.732          NA        NA      NA
#> 3 grade_iii, Survival model  0.569          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.46623           0.01524          -0.60675           0.35128  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 254.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.46622890       0.01524425      -0.60675070       0.35128091 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002596995      0.732392395      0.568584832 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.69321828 0.91318557 0.94329662 0.53477127 0.35849664 0.98333148
#>   [7] 0.74305629 0.96645024 0.35849664 0.33271809 0.54396249 0.79762300
#>  [13] 0.62989557 0.67797015 0.59665044 0.46088840 0.49837851 0.94923117
#>  [19] 0.35849664 0.22744128 0.66229968 0.93136747 0.34594310 0.75003729
#>  [25] 0.56211074 0.46088840 0.64619558 0.82408882 0.30397438 0.85692688
#>  [31] 0.05066014 0.46088840 0.79762300 0.84389892 0.22744128 0.96645024
#>  [37] 0.27363469 0.72198051 0.98333148 0.18994903 0.93136747 0.79762300
#>  [43] 0.99445567 0.39161461 0.70071791 0.77752111 0.57971682 0.94923117
#>  [49] 0.75003729 0.28918168 0.57971682 0.05066014 0.52556634 0.77752111
#>  [55] 0.84389892 0.86968107 0.73606866 0.83733775 0.79762300 0.49837851
#>  [61] 0.79090684 0.76389337 0.05066014 0.60505862 0.45107719 0.54396249
#>  [67] 0.90088366 0.05066014 0.39161461 0.76389337 0.87607379 0.70071791
#>  [73] 0.87607379 0.49837851 0.39161461 0.60505862 0.16933276 0.39161461
#>  [79] 0.31866176 0.96645024 0.88856623 0.68563617 0.62165532 0.46088840
#>  [85] 0.83071476 0.18994903 0.92532057 0.94923117 0.91318557 0.12535713
#>  [91] 0.85692688 0.67018144 0.72907242 0.56211074 0.25797508 0.70071791
#>  [97] 0.44123757 0.65429848 0.43105257 0.88856623 0.62989557 0.90088366
#> [103] 0.12535713 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    26    52   187     8    99    25   180    16    36   197    88   155    23 
#> 15.77 10.42  9.92 18.43 21.19  6.32 14.82  8.71 21.19 21.60 18.37 13.08 16.92 
#>    79   111   105    58   183  99.1   129   192   101   153   133   108 105.1 
#> 16.23 17.45 19.75 19.34  9.24 21.19 23.41 16.44  9.97 21.33 14.65 18.29 19.75 
#>   171   123    66    37    24 105.2 155.1   177 129.1  16.1   169    39  25.1 
#> 16.57 13.00 22.13 12.52 23.89 19.75 13.08 12.53 23.41  8.71 22.41 15.59  6.32 
#>   168 101.1 155.2   127   128   125    13    41 183.1 133.1   194  41.1  24.1 
#> 23.72  9.97 13.08  3.53 20.35 15.65 14.34 18.02  9.24 14.65 22.40 18.02 23.89 
#>   179  13.1 177.1    56   157   154 155.3    55    81    96  24.2    30   166 
#> 18.63 14.34 12.53 12.21 15.10 12.63 13.08 19.34 14.06 14.54 23.89 17.43 19.98 
#>  88.1    10  24.3 128.1  96.1    49 125.1  49.1  55.1 128.2  30.1    86 128.3 
#> 18.37 10.53 23.89 20.35 14.54 12.19 15.65 12.19 19.34 20.35 17.43 23.81 20.35 
#>   136  16.2   159   188    45 105.3    14 168.1    93 183.2  52.1    78  37.1 
#> 21.83  8.71 10.55 16.16 17.42 19.75 12.89 23.72 10.33  9.24 10.42 23.88 12.52 
#>     5   167 108.1   113 125.2   158   130   150 159.1  23.1  10.1  78.1   142 
#> 16.43 15.55 18.29 22.86 15.65 20.14 16.47 20.33 10.55 16.92 10.53 23.88 24.00 
#>   148   141    22   198   109    62   118   122   138   144    98   119     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72   156   200   151 122.1    84    65    80   104   103    17   143  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172   196    33 156.1    95  22.1 141.1  65.1 103.1     2   176   182   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191 182.1  65.2 141.2     3   2.1   174 138.1   173    31    19 172.1   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.2    11  72.1 196.1 142.1    75    27   132    34 148.1 191.1    12 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1 144.1    54   102  98.1    46  84.1   165  22.2    53 132.1 174.2 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.2  27.1   163 156.2   152 103.2   131  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[8]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01990538                0.42924337                0.43090361 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.94283259              0.01548236              0.22930188 
#>   grade_iii, Cure model 
#>              0.92622719 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 81    14.06      1  34        0         0
#> 157   15.10      1  47        0         0
#> 129   23.41      1  53        1         0
#> 86    23.81      1  58        0         1
#> 61    10.12      1  36        0         1
#> 180   14.82      1  37        0         0
#> 164   23.60      1  76        0         1
#> 158   20.14      1  74        1         0
#> 51    18.23      1  83        0         1
#> 167   15.55      1  56        1         0
#> 68    20.62      1  44        0         0
#> 124    9.73      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 92    22.92      1  47        0         1
#> 108   18.29      1  39        0         1
#> 168   23.72      1  70        0         0
#> 154   12.63      1  20        1         0
#> 90    20.94      1  50        0         1
#> 159   10.55      1  50        0         1
#> 100   16.07      1  60        0         0
#> 88    18.37      1  47        0         0
#> 158.1 20.14      1  74        1         0
#> 50    10.02      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 157.1 15.10      1  47        0         0
#> 110   17.56      1  65        0         1
#> 86.1  23.81      1  58        0         1
#> 36    21.19      1  48        0         1
#> 76    19.22      1  54        0         1
#> 61.1  10.12      1  36        0         1
#> 77     7.27      1  67        0         1
#> 158.2 20.14      1  74        1         0
#> 61.2  10.12      1  36        0         1
#> 190   20.81      1  42        1         0
#> 130   16.47      1  53        0         1
#> 61.3  10.12      1  36        0         1
#> 24    23.89      1  38        0         0
#> 197   21.60      1  69        1         0
#> 18.1  15.21      1  49        1         0
#> 10    10.53      1  34        0         0
#> 25     6.32      1  34        1         0
#> 197.1 21.60      1  69        1         0
#> 61.4  10.12      1  36        0         1
#> 154.1 12.63      1  20        1         0
#> 60    13.15      1  38        1         0
#> 89    11.44      1  NA        0         0
#> 89.1  11.44      1  NA        0         0
#> 175   21.91      1  43        0         0
#> 85    16.44      1  36        0         0
#> 45    17.42      1  54        0         1
#> 77.1   7.27      1  67        0         1
#> 129.1 23.41      1  53        1         0
#> 89.2  11.44      1  NA        0         0
#> 40    18.00      1  28        1         0
#> 70     7.38      1  30        1         0
#> 81.1  14.06      1  34        0         0
#> 153   21.33      1  55        1         0
#> 111   17.45      1  47        0         1
#> 177   12.53      1  75        0         0
#> 92.1  22.92      1  47        0         1
#> 149    8.37      1  33        1         0
#> 60.1  13.15      1  38        1         0
#> 197.2 21.60      1  69        1         0
#> 32    20.90      1  37        1         0
#> 51.1  18.23      1  83        0         1
#> 192   16.44      1  31        1         0
#> 30    17.43      1  78        0         0
#> 100.1 16.07      1  60        0         0
#> 170   19.54      1  43        0         1
#> 14    12.89      1  21        0         0
#> 50.1  10.02      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 66    22.13      1  53        0         0
#> 78    23.88      1  43        0         0
#> 124.1  9.73      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 171   16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 13    14.34      1  54        0         1
#> 154.2 12.63      1  20        1         0
#> 24.1  23.89      1  38        0         0
#> 51.2  18.23      1  83        0         1
#> 91     5.33      1  61        0         1
#> 92.2  22.92      1  47        0         1
#> 155   13.08      1  26        0         0
#> 159.1 10.55      1  50        0         1
#> 92.3  22.92      1  47        0         1
#> 30.1  17.43      1  78        0         0
#> 181   16.46      1  45        0         1
#> 49    12.19      1  48        1         0
#> 192.1 16.44      1  31        1         0
#> 13.1  14.34      1  54        0         1
#> 197.3 21.60      1  69        1         0
#> 189   10.51      1  NA        1         0
#> 81.2  14.06      1  34        0         0
#> 61.5  10.12      1  36        0         1
#> 153.1 21.33      1  55        1         0
#> 130.1 16.47      1  53        0         1
#> 88.1  18.37      1  47        0         0
#> 192.2 16.44      1  31        1         0
#> 40.1  18.00      1  28        1         0
#> 76.1  19.22      1  54        0         1
#> 117   17.46      1  26        0         1
#> 106   16.67      1  49        1         0
#> 97    19.14      1  65        0         1
#> 57    14.46      1  45        0         1
#> 127    3.53      1  62        0         1
#> 157.2 15.10      1  47        0         0
#> 189.1 10.51      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 45.1  17.42      1  54        0         1
#> 179.1 18.63      1  42        0         0
#> 72    24.00      0  40        0         1
#> 160   24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 132   24.00      0  55        0         0
#> 135   24.00      0  58        1         0
#> 80.1  24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 71    24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 21    24.00      0  47        0         0
#> 72.1  24.00      0  40        0         1
#> 17    24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 196   24.00      0  19        0         0
#> 84    24.00      0  39        0         1
#> 102   24.00      0  49        0         0
#> 74    24.00      0  43        0         1
#> 198   24.00      0  66        0         1
#> 132.1 24.00      0  55        0         0
#> 87    24.00      0  27        0         0
#> 198.1 24.00      0  66        0         1
#> 48    24.00      0  31        1         0
#> 144.1 24.00      0  28        0         1
#> 82    24.00      0  34        0         0
#> 137   24.00      0  45        1         0
#> 98    24.00      0  34        1         0
#> 83    24.00      0   6        0         0
#> 178   24.00      0  52        1         0
#> 131   24.00      0  66        0         0
#> 162   24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 109   24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 173   24.00      0  19        0         1
#> 148   24.00      0  61        1         0
#> 1     24.00      0  23        1         0
#> 182   24.00      0  35        0         0
#> 162.1 24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 34    24.00      0  36        0         0
#> 144.2 24.00      0  28        0         1
#> 47    24.00      0  38        0         1
#> 172   24.00      0  41        0         0
#> 9     24.00      0  31        1         0
#> 87.1  24.00      0  27        0         0
#> 163   24.00      0  66        0         0
#> 186.1 24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 9.1   24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 148.1 24.00      0  61        1         0
#> 47.1  24.00      0  38        0         1
#> 112.1 24.00      0  61        0         0
#> 126   24.00      0  48        0         0
#> 121.1 24.00      0  57        1         0
#> 102.1 24.00      0  49        0         0
#> 28    24.00      0  67        1         0
#> 1.1   24.00      0  23        1         0
#> 102.2 24.00      0  49        0         0
#> 122   24.00      0  66        0         0
#> 132.2 24.00      0  55        0         0
#> 120   24.00      0  68        0         1
#> 148.2 24.00      0  61        1         0
#> 94.1  24.00      0  51        0         1
#> 103.1 24.00      0  56        1         0
#> 28.1  24.00      0  67        1         0
#> 75    24.00      0  21        1         0
#> 200   24.00      0  64        0         0
#> 196.1 24.00      0  19        0         0
#> 160.1 24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 160.2 24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 172.1 24.00      0  41        0         0
#> 132.3 24.00      0  55        0         0
#> 148.3 24.00      0  61        1         0
#> 72.2  24.00      0  40        0         1
#> 160.3 24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 103.2 24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.943         NA        NA      NA
#> 2 age, Cure model           0.0155        NA        NA      NA
#> 3 grade_ii, Cure model      0.229         NA        NA      NA
#> 4 grade_iii, Cure model     0.926         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0199        NA        NA      NA
#> 2 grade_ii, Survival model    0.429         NA        NA      NA
#> 3 grade_iii, Survival model   0.431         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.94283           0.01548           0.22930           0.92623  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 253.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.94283259       0.01548236       0.22930188       0.92622719 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01990538       0.42924337       0.43090361 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 5.262297e-01 4.316304e-01 5.305451e-03 1.085442e-03 7.681038e-01
#>   [6] 4.708393e-01 3.767304e-03 7.146460e-02 1.509202e-01 3.818379e-01
#>  [11] 6.622205e-02 3.940473e-01 8.757626e-03 1.430482e-01 2.557516e-03
#>  [16] 6.443143e-01 5.156563e-02 7.203501e-01 3.581787e-01 1.279729e-01
#>  [21] 7.146460e-02 4.064893e-01 4.316304e-01 1.932599e-01 1.085442e-03
#>  [26] 4.698062e-02 9.445739e-02 7.681038e-01 9.133218e-01 7.146460e-02
#>  [31] 7.681038e-01 6.121105e-02 2.816162e-01 7.681038e-01 6.191623e-05
#>  [36] 2.487811e-02 4.064893e-01 7.519604e-01 9.475156e-01 2.487811e-02
#>  [41] 7.681038e-01 6.443143e-01 5.692392e-01 2.179689e-02 3.143718e-01
#>  [46] 2.402475e-01 9.133218e-01 5.305451e-03 1.759481e-01 8.964412e-01
#>  [51] 5.262297e-01 3.857608e-02 2.114942e-01 6.891272e-01 8.757626e-03
#>  [56] 8.796096e-01 5.692392e-01 2.487811e-02 5.633364e-02 1.509202e-01
#>  [61] 3.143718e-01 2.207875e-01 3.581787e-01 8.830023e-02 6.289822e-01
#>  [66] 8.628434e-01 1.894758e-02 5.213303e-04 1.139053e-01 2.709854e-01
#>  [71] 6.137768e-01 4.982909e-01 6.443143e-01 6.191623e-05 1.509202e-01
#>  [76] 9.648388e-01 8.757626e-03 5.987059e-01 7.203501e-01 8.757626e-03
#>  [81] 2.207875e-01 3.032199e-01 7.046679e-01 3.143718e-01 4.982909e-01
#>  [86] 2.487811e-02 5.262297e-01 7.681038e-01 3.857608e-02 2.816162e-01
#>  [91] 1.279729e-01 3.143718e-01 1.759481e-01 9.445739e-02 2.023600e-01
#>  [96] 2.604863e-01 1.071304e-01 4.844928e-01 9.823325e-01 4.316304e-01
#> [101] 1.635283e-02 2.402475e-01 1.139053e-01 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00
#> 
#> $Time
#>    81   157   129    86    61   180   164   158    51   167    68    29    92 
#> 14.06 15.10 23.41 23.81 10.12 14.82 23.60 20.14 18.23 15.55 20.62 15.45 22.92 
#>   108   168   154    90   159   100    88 158.1    18 157.1   110  86.1    36 
#> 18.29 23.72 12.63 20.94 10.55 16.07 18.37 20.14 15.21 15.10 17.56 23.81 21.19 
#>    76  61.1    77 158.2  61.2   190   130  61.3    24   197  18.1    10    25 
#> 19.22 10.12  7.27 20.14 10.12 20.81 16.47 10.12 23.89 21.60 15.21 10.53  6.32 
#> 197.1  61.4 154.1    60   175    85    45  77.1 129.1    40    70  81.1   153 
#> 21.60 10.12 12.63 13.15 21.91 16.44 17.42  7.27 23.41 18.00  7.38 14.06 21.33 
#>   111   177  92.1   149  60.1 197.2    32  51.1   192    30 100.1   170    14 
#> 17.45 12.53 22.92  8.37 13.15 21.60 20.90 18.23 16.44 17.43 16.07 19.54 12.89 
#>    16    66    78   179   171   123    13 154.2  24.1  51.2    91  92.2   155 
#>  8.71 22.13 23.88 18.63 16.57 13.00 14.34 12.63 23.89 18.23  5.33 22.92 13.08 
#> 159.1  92.3  30.1   181    49 192.1  13.1 197.3  81.2  61.5 153.1 130.1  88.1 
#> 10.55 22.92 17.43 16.46 12.19 16.44 14.34 21.60 14.06 10.12 21.33 16.47 18.37 
#> 192.2  40.1  76.1   117   106    97    57   127 157.2    15  45.1 179.1    72 
#> 16.44 18.00 19.22 17.46 16.67 19.14 14.46  3.53 15.10 22.68 17.42 18.63 24.00 
#>   160   185    80   132   135  80.1    95     2    71   165   144    21  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17   103   196    84   102    74   198 132.1    87 198.1    48 144.1    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137    98    83   178   131   162    46   109   156   121    94   173   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   182 162.1 185.1   186    62    34 144.2    47   172     9  87.1   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1   112   9.1 137.1 148.1  47.1 112.1   126 121.1 102.1    28   1.1 102.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122 132.2   120 148.2  94.1 103.1  28.1    75   200 196.1 160.1   174 160.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31    53 172.1 132.3 148.3  72.2 160.3 174.1 103.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[9]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005583355               0.743059496               0.476707271 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.02296559             -0.01021886              0.67093440 
#>   grade_iii, Cure model 
#>              1.29035968 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 8     18.43      1  32        0         0
#> 130   16.47      1  53        0         1
#> 69    23.23      1  25        0         1
#> 145   10.07      1  65        1         0
#> 49    12.19      1  48        1         0
#> 125   15.65      1  67        1         0
#> 149    8.37      1  33        1         0
#> 60    13.15      1  38        1         0
#> 154   12.63      1  20        1         0
#> 96    14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 90    20.94      1  50        0         1
#> 25     6.32      1  34        1         0
#> 153   21.33      1  55        1         0
#> 77     7.27      1  67        0         1
#> 24    23.89      1  38        0         0
#> 96.1  14.54      1  33        0         1
#> 181   16.46      1  45        0         1
#> 85    16.44      1  36        0         0
#> 14    12.89      1  21        0         0
#> 199   19.81      1  NA        0         1
#> 106   16.67      1  49        1         0
#> 89    11.44      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 107   11.18      1  54        1         0
#> 180   14.82      1  37        0         0
#> 133   14.65      1  57        0         0
#> 139   21.49      1  63        1         0
#> 134   17.81      1  47        1         0
#> 199.1 19.81      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 124    9.73      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 32.1  20.90      1  37        1         0
#> 124.1  9.73      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 153.1 21.33      1  55        1         0
#> 136   21.83      1  43        0         1
#> 96.2  14.54      1  33        0         1
#> 41.1  18.02      1  40        1         0
#> 25.1   6.32      1  34        1         0
#> 60.1  13.15      1  38        1         0
#> 23    16.92      1  61        0         0
#> 158   20.14      1  74        1         0
#> 86    23.81      1  58        0         1
#> 76    19.22      1  54        0         1
#> 6     15.64      1  39        0         0
#> 96.3  14.54      1  33        0         1
#> 111   17.45      1  47        0         1
#> 127    3.53      1  62        0         1
#> 107.1 11.18      1  54        1         0
#> 52    10.42      1  52        0         1
#> 39    15.59      1  37        0         1
#> 26    15.77      1  49        0         1
#> 5     16.43      1  51        0         1
#> 66    22.13      1  53        0         0
#> 124.2  9.73      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 169.2 22.41      1  46        0         0
#> 45    17.42      1  54        0         1
#> 40    18.00      1  28        1         0
#> 100   16.07      1  60        0         0
#> 167   15.55      1  56        1         0
#> 190   20.81      1  42        1         0
#> 123   13.00      1  44        1         0
#> 15    22.68      1  48        0         0
#> 124.3  9.73      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 158.1 20.14      1  74        1         0
#> 128   20.35      1  35        0         1
#> 92    22.92      1  47        0         1
#> 187    9.92      1  39        1         0
#> 91     5.33      1  61        0         1
#> 81    14.06      1  34        0         0
#> 89.1  11.44      1  NA        0         0
#> 181.1 16.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 90.1  20.94      1  50        0         1
#> 58    19.34      1  39        0         0
#> 199.2 19.81      1  NA        0         1
#> 6.1   15.64      1  39        0         0
#> 14.1  12.89      1  21        0         0
#> 78    23.88      1  43        0         0
#> 171   16.57      1  41        0         1
#> 24.1  23.89      1  38        0         0
#> 158.2 20.14      1  74        1         0
#> 167.1 15.55      1  56        1         0
#> 97    19.14      1  65        0         1
#> 15.1  22.68      1  48        0         0
#> 105   19.75      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 125.1 15.65      1  67        1         0
#> 81.1  14.06      1  34        0         0
#> 30    17.43      1  78        0         0
#> 197   21.60      1  69        1         0
#> 86.1  23.81      1  58        0         1
#> 181.2 16.46      1  45        0         1
#> 92.1  22.92      1  47        0         1
#> 63    22.77      1  31        1         0
#> 145.1 10.07      1  65        1         0
#> 128.1 20.35      1  35        0         1
#> 159   10.55      1  50        0         1
#> 37    12.52      1  57        1         0
#> 117   17.46      1  26        0         1
#> 159.1 10.55      1  50        0         1
#> 155   13.08      1  26        0         0
#> 78.1  23.88      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 39.1  15.59      1  37        0         1
#> 171.1 16.57      1  41        0         1
#> 163   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 198   24.00      0  66        0         1
#> 112   24.00      0  61        0         0
#> 20    24.00      0  46        1         0
#> 200   24.00      0  64        0         0
#> 103   24.00      0  56        1         0
#> 34    24.00      0  36        0         0
#> 64    24.00      0  43        0         0
#> 31    24.00      0  36        0         1
#> 120   24.00      0  68        0         1
#> 112.1 24.00      0  61        0         0
#> 46    24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 121   24.00      0  57        1         0
#> 142   24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 12    24.00      0  63        0         0
#> 112.2 24.00      0  61        0         0
#> 12.1  24.00      0  63        0         0
#> 47    24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 112.3 24.00      0  61        0         0
#> 138   24.00      0  44        1         0
#> 198.1 24.00      0  66        0         1
#> 156   24.00      0  50        1         0
#> 87    24.00      0  27        0         0
#> 1     24.00      0  23        1         0
#> 147   24.00      0  76        1         0
#> 62    24.00      0  71        0         0
#> 156.1 24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 178.1 24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 109   24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 35    24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 200.1 24.00      0  64        0         0
#> 182.1 24.00      0  35        0         0
#> 62.1  24.00      0  71        0         0
#> 12.2  24.00      0  63        0         0
#> 135   24.00      0  58        1         0
#> 28    24.00      0  67        1         0
#> 47.1  24.00      0  38        0         1
#> 160   24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 172   24.00      0  41        0         0
#> 47.2  24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 34.1  24.00      0  36        0         0
#> 120.1 24.00      0  68        0         1
#> 34.2  24.00      0  36        0         0
#> 48    24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 142.1 24.00      0  53        0         0
#> 34.3  24.00      0  36        0         0
#> 3     24.00      0  31        1         0
#> 12.3  24.00      0  63        0         0
#> 152   24.00      0  36        0         1
#> 47.3  24.00      0  38        0         1
#> 64.1  24.00      0  43        0         0
#> 147.1 24.00      0  76        1         0
#> 27    24.00      0  63        1         0
#> 146   24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 172.1 24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 34.4  24.00      0  36        0         0
#> 80    24.00      0  41        0         0
#> 46.1  24.00      0  71        0         0
#> 162   24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 3.1   24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 196   24.00      0  19        0         0
#> 161   24.00      0  45        0         0
#> 80.1  24.00      0  41        0         0
#> 144.1 24.00      0  28        0         1
#> 20.1  24.00      0  46        1         0
#> 196.1 24.00      0  19        0         0
#> 174   24.00      0  49        1         0
#> 3.2   24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 185   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.0230        NA        NA      NA
#> 2 age, Cure model          -0.0102        NA        NA      NA
#> 3 grade_ii, Cure model      0.671         NA        NA      NA
#> 4 grade_iii, Cure model     1.29          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00558        NA        NA      NA
#> 2 grade_ii, Survival model   0.743          NA        NA      NA
#> 3 grade_iii, Survival model  0.477          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.02297          -0.01022           0.67093           1.29036  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.6 
#> Residual Deviance: 245.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.02296559      -0.01021886       0.67093440       1.29035968 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005583355      0.743059496      0.476707271 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.708084156 0.435627924 0.561424770 0.091234244 0.926088246 0.858271131
#>   [7] 0.635486771 0.951034167 0.788214815 0.840885296 0.735270647 0.445918156
#>  [13] 0.278881951 0.967530766 0.255686116 0.959286298 0.009855457 0.735270647
#>  [19] 0.570836206 0.598270361 0.823383885 0.533159073 0.301665230 0.866887585
#>  [25] 0.717121810 0.726180773 0.243178621 0.475452069 0.425377317 0.166951978
#>  [31] 0.301665230 0.909207641 0.255686116 0.217218020 0.735270647 0.445918156
#>  [37] 0.967530766 0.788214815 0.523516798 0.354788660 0.063509274 0.404948605
#>  [43] 0.653701285 0.735270647 0.494738603 0.991877717 0.866887585 0.900738888
#>  [49] 0.672015679 0.626193595 0.607584867 0.203865278 0.166951978 0.166951978
#>  [55] 0.513925516 0.465647949 0.616869255 0.690176619 0.323290233 0.814606937
#>  [61] 0.142622557 0.917660266 0.354788660 0.334047299 0.105414084 0.942728084
#>  [67] 0.983746149 0.770382871 0.570836206 0.278881951 0.394669406 0.653701285
#>  [73] 0.823383885 0.033932737 0.542697994 0.009855457 0.354788660 0.690176619
#>  [79] 0.415178097 0.142622557 0.384442340 0.635486771 0.770382871 0.504299842
#>  [85] 0.230355486 0.063509274 0.570836206 0.105414084 0.130407218 0.926088246
#>  [91] 0.334047299 0.883848625 0.849601752 0.485133007 0.883848625 0.805768623
#>  [97] 0.033932737 0.672015679 0.542697994 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>   157     8   130    69   145    49   125   149    60   154    96    41    90 
#> 15.10 18.43 16.47 23.23 10.07 12.19 15.65  8.37 13.15 12.63 14.54 18.02 20.94 
#>    25   153    77    24  96.1   181    85    14   106    32   107   180   133 
#>  6.32 21.33  7.27 23.89 14.54 16.46 16.44 12.89 16.67 20.90 11.18 14.82 14.65 
#>   139   134   179   169  32.1    93 153.1   136  96.2  41.1  25.1  60.1    23 
#> 21.49 17.81 18.63 22.41 20.90 10.33 21.33 21.83 14.54 18.02  6.32 13.15 16.92 
#>   158    86    76     6  96.3   111   127 107.1    52    39    26     5    66 
#> 20.14 23.81 19.22 15.64 14.54 17.45  3.53 11.18 10.42 15.59 15.77 16.43 22.13 
#> 169.1 169.2    45    40   100   167   190   123    15    61 158.1   128    92 
#> 22.41 22.41 17.42 18.00 16.07 15.55 20.81 13.00 22.68 10.12 20.14 20.35 22.92 
#>   187    91    81 181.1  90.1    58   6.1  14.1    78   171  24.1 158.2 167.1 
#>  9.92  5.33 14.06 16.46 20.94 19.34 15.64 12.89 23.88 16.57 23.89 20.14 15.55 
#>    97  15.1   105 125.1  81.1    30   197  86.1 181.2  92.1    63 145.1 128.1 
#> 19.14 22.68 19.75 15.65 14.06 17.43 21.60 23.81 16.46 22.92 22.77 10.07 20.35 
#>   159    37   117 159.1   155  78.1  39.1 171.1   163   132   198   112    20 
#> 10.55 12.52 17.46 10.55 13.08 23.88 15.59 16.57 24.00 24.00 24.00 24.00 24.00 
#>   200   103    34    64    31   120 112.1    46    44   121   142   178    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.2  12.1    47   182 112.3   138 198.1   156    87     1   147    62 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19 178.1    82   109    21    35  31.1    65 200.1 182.1  62.1  12.2   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28  47.1   160   144   172  47.2     7  34.1 120.1  34.2    48   151 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.3     3  12.3   152  47.3  64.1 147.1    27   146    67 172.1    94  34.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80  46.1   162    98   3.1  48.1  19.1   196   161  80.1 144.1  20.1 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   3.2 103.1   185    71 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[10]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00909549                0.50647365                0.04949100 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.092450504            -0.002695911             0.428516858 
#>   grade_iii, Cure model 
#>             0.764428577 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 4     17.64      1  NA        0         1
#> 110   17.56      1  65        0         1
#> 101    9.97      1  10        0         1
#> 136   21.83      1  43        0         1
#> 15    22.68      1  48        0         0
#> 134   17.81      1  47        1         0
#> 183    9.24      1  67        1         0
#> 194   22.40      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 183.1  9.24      1  67        1         0
#> 183.2  9.24      1  67        1         0
#> 175   21.91      1  43        0         0
#> 29    15.45      1  68        1         0
#> 123   13.00      1  44        1         0
#> 81    14.06      1  34        0         0
#> 93    10.33      1  52        0         1
#> 192   16.44      1  31        1         0
#> 69    23.23      1  25        0         1
#> 124    9.73      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 169   22.41      1  46        0         0
#> 190   20.81      1  42        1         0
#> 55    19.34      1  69        0         1
#> 128   20.35      1  35        0         1
#> 187    9.92      1  39        1         0
#> 49    12.19      1  48        1         0
#> 29.1  15.45      1  68        1         0
#> 41    18.02      1  40        1         0
#> 40    18.00      1  28        1         0
#> 96    14.54      1  33        0         1
#> 39    15.59      1  37        0         1
#> 184   17.77      1  38        0         0
#> 49.1  12.19      1  48        1         0
#> 10    10.53      1  34        0         0
#> 111   17.45      1  47        0         1
#> 56    12.21      1  60        0         0
#> 97    19.14      1  65        0         1
#> 85    16.44      1  36        0         0
#> 29.2  15.45      1  68        1         0
#> 88.1  18.37      1  47        0         0
#> 164   23.60      1  76        0         1
#> 16     8.71      1  71        0         1
#> 41.1  18.02      1  40        1         0
#> 128.1 20.35      1  35        0         1
#> 124.1  9.73      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 153   21.33      1  55        1         0
#> 45    17.42      1  54        0         1
#> 175.1 21.91      1  43        0         0
#> 51    18.23      1  83        0         1
#> 150   20.33      1  48        0         0
#> 56.1  12.21      1  60        0         0
#> 50    10.02      1  NA        1         0
#> 111.1 17.45      1  47        0         1
#> 190.1 20.81      1  42        1         0
#> 89    11.44      1  NA        0         0
#> 40.1  18.00      1  28        1         0
#> 101.1  9.97      1  10        0         1
#> 66    22.13      1  53        0         0
#> 81.1  14.06      1  34        0         0
#> 180   14.82      1  37        0         0
#> 85.1  16.44      1  36        0         0
#> 169.1 22.41      1  46        0         0
#> 41.2  18.02      1  40        1         0
#> 50.1  10.02      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 61    10.12      1  36        0         1
#> 86    23.81      1  58        0         1
#> 183.3  9.24      1  67        1         0
#> 114   13.68      1  NA        0         0
#> 150.1 20.33      1  48        0         0
#> 81.2  14.06      1  34        0         0
#> 52    10.42      1  52        0         1
#> 139   21.49      1  63        1         0
#> 79    16.23      1  54        1         0
#> 129   23.41      1  53        1         0
#> 166   19.98      1  48        0         0
#> 24    23.89      1  38        0         0
#> 181   16.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 181.1 16.46      1  45        0         1
#> 93.1  10.33      1  52        0         1
#> 187.1  9.92      1  39        1         0
#> 30    17.43      1  78        0         0
#> 101.2  9.97      1  10        0         1
#> 10.1  10.53      1  34        0         0
#> 105   19.75      1  60        0         0
#> 56.2  12.21      1  60        0         0
#> 171   16.57      1  41        0         1
#> 14    12.89      1  21        0         0
#> 149    8.37      1  33        1         0
#> 171.1 16.57      1  41        0         1
#> 25     6.32      1  34        1         0
#> 99    21.19      1  38        0         1
#> 194.1 22.40      1  38        0         1
#> 18    15.21      1  49        1         0
#> 184.1 17.77      1  38        0         0
#> 41.3  18.02      1  40        1         0
#> 32    20.90      1  37        1         0
#> 123.1 13.00      1  44        1         0
#> 32.1  20.90      1  37        1         0
#> 154   12.63      1  20        1         0
#> 99.1  21.19      1  38        0         1
#> 76    19.22      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 29.3  15.45      1  68        1         0
#> 60    13.15      1  38        1         0
#> 192.1 16.44      1  31        1         0
#> 86.1  23.81      1  58        0         1
#> 100   16.07      1  60        0         0
#> 52.1  10.42      1  52        0         1
#> 101.3  9.97      1  10        0         1
#> 147   24.00      0  76        1         0
#> 147.1 24.00      0  76        1         0
#> 19    24.00      0  57        0         1
#> 193   24.00      0  45        0         1
#> 191   24.00      0  60        0         1
#> 200   24.00      0  64        0         0
#> 74    24.00      0  43        0         1
#> 163   24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 84    24.00      0  39        0         1
#> 11.1  24.00      0  42        0         1
#> 27    24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 11.2  24.00      0  42        0         1
#> 22.1  24.00      0  52        1         0
#> 143.1 24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 198   24.00      0  66        0         1
#> 9     24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 20    24.00      0  46        1         0
#> 19.1  24.00      0  57        0         1
#> 196   24.00      0  19        0         0
#> 75    24.00      0  21        1         0
#> 165   24.00      0  47        0         0
#> 196.1 24.00      0  19        0         0
#> 20.1  24.00      0  46        1         0
#> 172   24.00      0  41        0         0
#> 191.1 24.00      0  60        0         1
#> 67    24.00      0  25        0         0
#> 144   24.00      0  28        0         1
#> 185   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 1     24.00      0  23        1         0
#> 182   24.00      0  35        0         0
#> 22.2  24.00      0  52        1         0
#> 163.1 24.00      0  66        0         0
#> 67.1  24.00      0  25        0         0
#> 144.1 24.00      0  28        0         1
#> 62    24.00      0  71        0         0
#> 22.3  24.00      0  52        1         0
#> 200.1 24.00      0  64        0         0
#> 165.1 24.00      0  47        0         0
#> 162   24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 146   24.00      0  63        1         0
#> 112   24.00      0  61        0         0
#> 103   24.00      0  56        1         0
#> 44    24.00      0  56        0         0
#> 126   24.00      0  48        0         0
#> 160.1 24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 64.1  24.00      0  43        0         0
#> 9.1   24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 193.1 24.00      0  45        0         1
#> 147.2 24.00      0  76        1         0
#> 163.2 24.00      0  66        0         0
#> 67.2  24.00      0  25        0         0
#> 9.2   24.00      0  31        1         0
#> 38.1  24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 47    24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 82.1  24.00      0  34        0         0
#> 71.1  24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 3.1   24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 46    24.00      0  71        0         0
#> 72    24.00      0  40        0         1
#> 54.1  24.00      0  53        1         0
#> 122   24.00      0  66        0         0
#> 11.3  24.00      0  42        0         1
#> 191.2 24.00      0  60        0         1
#> 193.2 24.00      0  45        0         1
#> 138   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 44.1  24.00      0  56        0         0
#> 21.1  24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0925         NA        NA      NA
#> 2 age, Cure model         -0.00270        NA        NA      NA
#> 3 grade_ii, Cure model     0.429          NA        NA      NA
#> 4 grade_iii, Cure model    0.764          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00910        NA        NA      NA
#> 2 grade_ii, Survival model   0.506          NA        NA      NA
#> 3 grade_iii, Survival model  0.0495         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.092451         -0.002696          0.428517          0.764429  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 260.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.092450504     -0.002695911      0.428516858      0.764428577 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00909549       0.50647365       0.04949100 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3881080536 0.8519904211 0.0811782465 0.0270447654 0.3587249616
#>   [6] 0.9200446976 0.0454111258 0.9200446976 0.9200446976 0.0661312409
#>  [11] 0.5545806966 0.6734848656 0.6296489427 0.8176741195 0.4809726647
#>  [16] 0.0214743456 0.2519468223 0.0330562882 0.1471125883 0.2237380221
#>  [21] 0.1632651721 0.8972285413 0.7505363356 0.5545806966 0.3012099168
#>  [26] 0.3393872860 0.6186876182 0.5437726089 0.3685057891 0.7505363356
#>  [31] 0.7727285798 0.3981435505 0.7174250026 0.2423961832 0.4809726647
#>  [36] 0.5545806966 0.2519468223 0.0107710934 0.9653285396 0.3012099168
#>  [41] 0.1632651721 0.2711842258 0.0975040920 0.4285958961 0.0661312409
#>  [46] 0.2810738419 0.1798045535 0.7174250026 0.3981435505 0.1471125883
#>  [51] 0.3393872860 0.8519904211 0.0587116916 0.6296489427 0.6077691864
#>  [56] 0.4809726647 0.0330562882 0.3012099168 0.1969010071 0.8404739560
#>  [61] 0.0038576027 0.9200446976 0.1798045535 0.6296489427 0.7950916964
#>  [66] 0.0893169124 0.5223536222 0.0161359492 0.2057033389 0.0009391014
#>  [71] 0.4598436348 0.1220481154 0.4598436348 0.8176741195 0.8972285413
#>  [76] 0.4182771882 0.8519904211 0.7727285798 0.2146410062 0.7174250026
#>  [81] 0.4390040790 0.6953699461 0.9769164262 0.4390040790 0.9884729030
#>  [86] 0.1056873904 0.0454111258 0.5969065226 0.3685057891 0.3012099168
#>  [91] 0.1307235908 0.6734848656 0.1307235908 0.7064304736 0.1056873904
#>  [96] 0.2330004090 0.2810738419 0.5545806966 0.6624113087 0.4809726647
#> [101] 0.0038576027 0.5330178646 0.7950916964 0.8519904211 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000
#> 
#> $Time
#>   110   101   136    15   134   183   194 183.1 183.2   175    29   123    81 
#> 17.56  9.97 21.83 22.68 17.81  9.24 22.40  9.24  9.24 21.91 15.45 13.00 14.06 
#>    93   192    69    88   169   190    55   128   187    49  29.1    41    40 
#> 10.33 16.44 23.23 18.37 22.41 20.81 19.34 20.35  9.92 12.19 15.45 18.02 18.00 
#>    96    39   184  49.1    10   111    56    97    85  29.2  88.1   164    16 
#> 14.54 15.59 17.77 12.19 10.53 17.45 12.21 19.14 16.44 15.45 18.37 23.60  8.71 
#>  41.1 128.1   108   153    45 175.1    51   150  56.1 111.1 190.1  40.1 101.1 
#> 18.02 20.35 18.29 21.33 17.42 21.91 18.23 20.33 12.21 17.45 20.81 18.00  9.97 
#>    66  81.1   180  85.1 169.1  41.2   158    61    86 183.3 150.1  81.2    52 
#> 22.13 14.06 14.82 16.44 22.41 18.02 20.14 10.12 23.81  9.24 20.33 14.06 10.42 
#>   139    79   129   166    24   181    90 181.1  93.1 187.1    30 101.2  10.1 
#> 21.49 16.23 23.41 19.98 23.89 16.46 20.94 16.46 10.33  9.92 17.43  9.97 10.53 
#>   105  56.2   171    14   149 171.1    25    99 194.1    18 184.1  41.3    32 
#> 19.75 12.21 16.57 12.89  8.37 16.57  6.32 21.19 22.40 15.21 17.77 18.02 20.90 
#> 123.1  32.1   154  99.1    76  51.1  29.3    60 192.1  86.1   100  52.1 101.3 
#> 13.00 20.90 12.63 21.19 19.22 18.23 15.45 13.15 16.44 23.81 16.07 10.42  9.97 
#>   147 147.1    19   193   191   200    74   163   143    21    22    71    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84  11.1    27    17  11.2  22.1 143.1   120    64   198     9    54    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1   196    75   165 196.1  20.1   172 191.1    67   144   185   160   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   182  22.2 163.1  67.1 144.1    62  22.3 200.1 165.1   162    38    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146   112   103    44   126 160.1    80  64.1   9.1   186 193.1 147.2 163.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.2   9.2  38.1 198.1    47   156  82.1  71.1     3   119   3.1   151    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72  54.1   122  11.3 191.2 193.2   138    34  44.1  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[11]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006850478               0.823449188               0.283255163 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.070415490            -0.005650346             0.436014050 
#>   grade_iii, Cure model 
#>             1.287220203 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 88    18.37      1  47        0         0
#> 155   13.08      1  26        0         0
#> 166   19.98      1  48        0         0
#> 159   10.55      1  50        0         1
#> 91     5.33      1  61        0         1
#> 106   16.67      1  49        1         0
#> 61    10.12      1  36        0         1
#> 51    18.23      1  83        0         1
#> 113   22.86      1  34        0         0
#> 140   12.68      1  59        1         0
#> 77     7.27      1  67        0         1
#> 125   15.65      1  67        1         0
#> 50    10.02      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 166.1 19.98      1  48        0         0
#> 57    14.46      1  45        0         1
#> 50.1  10.02      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 195.1 11.76      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 60    13.15      1  38        1         0
#> 6.1   15.64      1  39        0         0
#> 79    16.23      1  54        1         0
#> 85    16.44      1  36        0         0
#> 66    22.13      1  53        0         0
#> 49    12.19      1  48        1         0
#> 175   21.91      1  43        0         0
#> 30    17.43      1  78        0         0
#> 52    10.42      1  52        0         1
#> 192   16.44      1  31        1         0
#> 187    9.92      1  39        1         0
#> 70     7.38      1  30        1         0
#> 92    22.92      1  47        0         1
#> 106.1 16.67      1  49        1         0
#> 92.1  22.92      1  47        0         1
#> 127    3.53      1  62        0         1
#> 78    23.88      1  43        0         0
#> 114   13.68      1  NA        0         0
#> 59    10.16      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 150   20.33      1  48        0         0
#> 5     16.43      1  51        0         1
#> 181   16.46      1  45        0         1
#> 194   22.40      1  38        0         1
#> 81    14.06      1  34        0         0
#> 195.2 11.76      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 164   23.60      1  76        0         1
#> 125.1 15.65      1  67        1         0
#> 76    19.22      1  54        0         1
#> 88.1  18.37      1  47        0         0
#> 61.1  10.12      1  36        0         1
#> 99    21.19      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 149    8.37      1  33        1         0
#> 166.2 19.98      1  48        0         0
#> 36.1  21.19      1  48        0         1
#> 194.1 22.40      1  38        0         1
#> 180   14.82      1  37        0         0
#> 23    16.92      1  61        0         0
#> 23.1  16.92      1  61        0         0
#> 169   22.41      1  46        0         0
#> 190.1 20.81      1  42        1         0
#> 56    12.21      1  60        0         0
#> 194.2 22.40      1  38        0         1
#> 134   17.81      1  47        1         0
#> 96    14.54      1  33        0         1
#> 79.1  16.23      1  54        1         0
#> 187.1  9.92      1  39        1         0
#> 110   17.56      1  65        0         1
#> 61.2  10.12      1  36        0         1
#> 110.1 17.56      1  65        0         1
#> 25     6.32      1  34        1         0
#> 194.3 22.40      1  38        0         1
#> 105   19.75      1  60        0         0
#> 194.4 22.40      1  38        0         1
#> 99.1  21.19      1  38        0         1
#> 123   13.00      1  44        1         0
#> 41    18.02      1  40        1         0
#> 179   18.63      1  42        0         0
#> 16     8.71      1  71        0         1
#> 78.1  23.88      1  43        0         0
#> 85.1  16.44      1  36        0         0
#> 166.3 19.98      1  48        0         0
#> 24    23.89      1  38        0         0
#> 85.2  16.44      1  36        0         0
#> 49.1  12.19      1  48        1         0
#> 4     17.64      1  NA        0         1
#> 32    20.90      1  37        1         0
#> 153   21.33      1  55        1         0
#> 187.2  9.92      1  39        1         0
#> 136   21.83      1  43        0         1
#> 127.1  3.53      1  62        0         1
#> 181.1 16.46      1  45        0         1
#> 25.1   6.32      1  34        1         0
#> 130   16.47      1  53        0         1
#> 85.3  16.44      1  36        0         0
#> 123.1 13.00      1  44        1         0
#> 111   17.45      1  47        0         1
#> 8.1   18.43      1  32        0         0
#> 76.1  19.22      1  54        0         1
#> 57.1  14.46      1  45        0         1
#> 45    17.42      1  54        0         1
#> 50.2  10.02      1  NA        1         0
#> 61.3  10.12      1  36        0         1
#> 63    22.77      1  31        1         0
#> 106.2 16.67      1  49        1         0
#> 29    15.45      1  68        1         0
#> 39    15.59      1  37        0         1
#> 96.1  14.54      1  33        0         1
#> 134.1 17.81      1  47        1         0
#> 121   24.00      0  57        1         0
#> 21    24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 34    24.00      0  36        0         0
#> 165   24.00      0  47        0         0
#> 12.1  24.00      0  63        0         0
#> 146   24.00      0  63        1         0
#> 44    24.00      0  56        0         0
#> 116   24.00      0  58        0         1
#> 38    24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 21.1  24.00      0  47        0         0
#> 64    24.00      0  43        0         0
#> 73    24.00      0  NA        0         1
#> 94    24.00      0  51        0         1
#> 64.1  24.00      0  43        0         0
#> 62    24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 147   24.00      0  76        1         0
#> 62.1  24.00      0  71        0         0
#> 176   24.00      0  43        0         1
#> 143   24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 80    24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 161   24.00      0  45        0         0
#> 1     24.00      0  23        1         0
#> 116.1 24.00      0  58        0         1
#> 83    24.00      0   6        0         0
#> 135   24.00      0  58        1         0
#> 2     24.00      0   9        0         0
#> 112   24.00      0  61        0         0
#> 83.1  24.00      0   6        0         0
#> 122   24.00      0  66        0         0
#> 165.1 24.00      0  47        0         0
#> 182   24.00      0  35        0         0
#> 141   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 176.1 24.00      0  43        0         1
#> 82    24.00      0  34        0         0
#> 193.1 24.00      0  45        0         1
#> 182.1 24.00      0  35        0         0
#> 53    24.00      0  32        0         1
#> 185   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 62.2  24.00      0  71        0         0
#> 72.1  24.00      0  40        0         1
#> 116.2 24.00      0  58        0         1
#> 163   24.00      0  66        0         0
#> 71    24.00      0  51        0         0
#> 64.2  24.00      0  43        0         0
#> 2.1   24.00      0   9        0         0
#> 196   24.00      0  19        0         0
#> 163.1 24.00      0  66        0         0
#> 12.2  24.00      0  63        0         0
#> 38.1  24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 135.1 24.00      0  58        1         0
#> 126   24.00      0  48        0         0
#> 54    24.00      0  53        1         0
#> 103   24.00      0  56        1         0
#> 109.1 24.00      0  48        0         0
#> 126.1 24.00      0  48        0         0
#> 198   24.00      0  66        0         1
#> 160   24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 31    24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 64.3  24.00      0  43        0         0
#> 1.1   24.00      0  23        1         0
#> 11    24.00      0  42        0         1
#> 7     24.00      0  37        1         0
#> 156   24.00      0  50        1         0
#> 193.2 24.00      0  45        0         1
#> 138   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 109.2 24.00      0  48        0         0
#> 135.2 24.00      0  58        1         0
#> 137   24.00      0  45        1         0
#> 62.3  24.00      0  71        0         0
#> 83.2  24.00      0   6        0         0
#> 186   24.00      0  45        1         0
#> 185.1 24.00      0  44        1         0
#> 65.1  24.00      0  57        1         0
#> 198.1 24.00      0  66        0         1
#> 131   24.00      0  66        0         0
#> 165.2 24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0704         NA        NA      NA
#> 2 age, Cure model         -0.00565        NA        NA      NA
#> 3 grade_ii, Cure model     0.436          NA        NA      NA
#> 4 grade_iii, Cure model    1.29           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00685        NA        NA      NA
#> 2 grade_ii, Survival model   0.823          NA        NA      NA
#> 3 grade_iii, Survival model  0.283          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.07042          -0.00565           0.43601           1.28722  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 246.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.070415490     -0.005650346      0.436014050      1.287220203 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006850478      0.823449188      0.283255163 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.58953384 0.86671116 0.49677825 0.90525071 0.98585541 0.69505780
#>   [7] 0.92112371 0.60743784 0.23063721 0.88359720 0.97145892 0.78926959
#>  [13] 0.41143107 0.49677825 0.84350157 0.57142095 0.80152237 0.86096110
#>  [19] 0.80152237 0.77650036 0.73684069 0.35649077 0.89459060 0.37081810
#>  [25] 0.66453423 0.91056923 0.73684069 0.94167306 0.96656578 0.18837163
#>  [31] 0.69505780 0.18837163 0.99060874 0.09706242 0.91586009 0.48681468
#>  [37] 0.76983639 0.72309442 0.28929886 0.85513493 0.46693470 0.16038204
#>  [43] 0.78926959 0.54386803 0.58953384 0.92112371 0.41143107 0.96162768
#>  [49] 0.49677825 0.41143107 0.28929886 0.82577806 0.67996802 0.67996802
#>  [55] 0.27102990 0.46693470 0.88910253 0.28929886 0.62487660 0.83173732
#>  [61] 0.77650036 0.94167306 0.64100613 0.92112371 0.64100613 0.97632509
#>  [67] 0.28929886 0.53431390 0.28929886 0.41143107 0.87245380 0.61628035
#>  [73] 0.56221955 0.95664206 0.09706242 0.73684069 0.49677825 0.04490495
#>  [79] 0.73684069 0.89459060 0.45592068 0.39870382 0.94167306 0.38495837
#>  [85] 0.99060874 0.72309442 0.97632509 0.71608021 0.73684069 0.87245380
#>  [91] 0.65671202 0.57142095 0.54386803 0.84350157 0.67229194 0.92112371
#>  [97] 0.25229379 0.69505780 0.81980638 0.81371805 0.83173732 0.62487660
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    88   155   166   159    91   106    61    51   113   140    77   125    36 
#> 18.37 13.08 19.98 10.55  5.33 16.67 10.12 18.23 22.86 12.68  7.27 15.65 21.19 
#> 166.1    57     8     6    60   6.1    79    85    66    49   175    30    52 
#> 19.98 14.46 18.43 15.64 13.15 15.64 16.23 16.44 22.13 12.19 21.91 17.43 10.42 
#>   192   187    70    92 106.1  92.1   127    78    93   150     5   181   194 
#> 16.44  9.92  7.38 22.92 16.67 22.92  3.53 23.88 10.33 20.33 16.43 16.46 22.40 
#>    81   190   164 125.1    76  88.1  61.1    99   149 166.2  36.1 194.1   180 
#> 14.06 20.81 23.60 15.65 19.22 18.37 10.12 21.19  8.37 19.98 21.19 22.40 14.82 
#>    23  23.1   169 190.1    56 194.2   134    96  79.1 187.1   110  61.2 110.1 
#> 16.92 16.92 22.41 20.81 12.21 22.40 17.81 14.54 16.23  9.92 17.56 10.12 17.56 
#>    25 194.3   105 194.4  99.1   123    41   179    16  78.1  85.1 166.3    24 
#>  6.32 22.40 19.75 22.40 21.19 13.00 18.02 18.63  8.71 23.88 16.44 19.98 23.89 
#>  85.2  49.1    32   153 187.2   136 127.1 181.1  25.1   130  85.3 123.1   111 
#> 16.44 12.19 20.90 21.33  9.92 21.83  3.53 16.46  6.32 16.47 16.44 13.00 17.45 
#>   8.1  76.1  57.1    45  61.3    63 106.2    29    39  96.1 134.1   121    21 
#> 18.43 19.22 14.46 17.42 10.12 22.77 16.67 15.45 15.59 14.54 17.81 24.00 24.00 
#>    12    34   165  12.1   146    44   116    38    98  21.1    64    94  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   132   147  62.1   176   143    72    80   193   161     1 116.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135     2   112  83.1   122 165.1   182   141   109 176.1    82 193.1 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   185    75  62.2  72.1 116.2   163    71  64.2   2.1   196 163.1  12.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.1 146.1 135.1   126    54   103 109.1 126.1   198   160    31    65  64.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1    11     7   156 193.2   138    27 109.2 135.2   137  62.3  83.2   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1  65.1 198.1   131 165.2   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[12]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0008214519              0.6518281444              0.4875132089 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.57973213              0.02607299              0.51572334 
#>   grade_iii, Cure model 
#>              0.93664016 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 175   21.91      1  43        0         0
#> 158   20.14      1  74        1         0
#> 114   13.68      1  NA        0         0
#> 60    13.15      1  38        1         0
#> 14    12.89      1  21        0         0
#> 18    15.21      1  49        1         0
#> 168   23.72      1  70        0         0
#> 129   23.41      1  53        1         0
#> 68    20.62      1  44        0         0
#> 199   19.81      1  NA        0         1
#> 59    10.16      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 51    18.23      1  83        0         1
#> 150   20.33      1  48        0         0
#> 96    14.54      1  33        0         1
#> 50    10.02      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 125   15.65      1  67        1         0
#> 37    12.52      1  57        1         0
#> 187    9.92      1  39        1         0
#> 57    14.46      1  45        0         1
#> 114.1 13.68      1  NA        0         0
#> 89    11.44      1  NA        0         0
#> 139   21.49      1  63        1         0
#> 128   20.35      1  35        0         1
#> 108   18.29      1  39        0         1
#> 187.1  9.92      1  39        1         0
#> 63    22.77      1  31        1         0
#> 189   10.51      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 85    16.44      1  36        0         0
#> 192   16.44      1  31        1         0
#> 110   17.56      1  65        0         1
#> 96.1  14.54      1  33        0         1
#> 58    19.34      1  39        0         0
#> 100   16.07      1  60        0         0
#> 187.2  9.92      1  39        1         0
#> 89.1  11.44      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 41    18.02      1  40        1         0
#> 177   12.53      1  75        0         0
#> 30    17.43      1  78        0         0
#> 139.1 21.49      1  63        1         0
#> 192.1 16.44      1  31        1         0
#> 106   16.67      1  49        1         0
#> 158.1 20.14      1  74        1         0
#> 167   15.55      1  56        1         0
#> 16     8.71      1  71        0         1
#> 68.1  20.62      1  44        0         0
#> 157   15.10      1  47        0         0
#> 140.1 12.68      1  59        1         0
#> 145   10.07      1  65        1         0
#> 123   13.00      1  44        1         0
#> 149    8.37      1  33        1         0
#> 128.1 20.35      1  35        0         1
#> 134   17.81      1  47        1         0
#> 114.2 13.68      1  NA        0         0
#> 77     7.27      1  67        0         1
#> 8     18.43      1  32        0         0
#> 195   11.76      1  NA        1         0
#> 149.1  8.37      1  33        1         0
#> 91     5.33      1  61        0         1
#> 24    23.89      1  38        0         0
#> 125.1 15.65      1  67        1         0
#> 123.1 13.00      1  44        1         0
#> 4     17.64      1  NA        0         1
#> 92    22.92      1  47        0         1
#> 26    15.77      1  49        0         1
#> 159   10.55      1  50        0         1
#> 164   23.60      1  76        0         1
#> 130   16.47      1  53        0         1
#> 4.1   17.64      1  NA        0         1
#> 42    12.43      1  49        0         1
#> 57.1  14.46      1  45        0         1
#> 180   14.82      1  37        0         0
#> 93    10.33      1  52        0         1
#> 133   14.65      1  57        0         0
#> 106.1 16.67      1  49        1         0
#> 159.1 10.55      1  50        0         1
#> 26.1  15.77      1  49        0         1
#> 170   19.54      1  43        0         1
#> 16.1   8.71      1  71        0         1
#> 18.1  15.21      1  49        1         0
#> 157.1 15.10      1  47        0         0
#> 55    19.34      1  69        0         1
#> 50.1  10.02      1  NA        1         0
#> 123.2 13.00      1  44        1         0
#> 91.1   5.33      1  61        0         1
#> 167.1 15.55      1  56        1         0
#> 189.1 10.51      1  NA        1         0
#> 92.1  22.92      1  47        0         1
#> 24.1  23.89      1  38        0         0
#> 187.3  9.92      1  39        1         0
#> 194.1 22.40      1  38        0         1
#> 199.1 19.81      1  NA        0         1
#> 36    21.19      1  48        0         1
#> 6     15.64      1  39        0         0
#> 180.1 14.82      1  37        0         0
#> 43    12.10      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 190   20.81      1  42        1         0
#> 58.1  19.34      1  39        0         0
#> 175.1 21.91      1  43        0         0
#> 79    16.23      1  54        1         0
#> 159.2 10.55      1  50        0         1
#> 61    10.12      1  36        0         1
#> 39    15.59      1  37        0         1
#> 159.3 10.55      1  50        0         1
#> 86    23.81      1  58        0         1
#> 15    22.68      1  48        0         0
#> 108.1 18.29      1  39        0         1
#> 102   24.00      0  49        0         0
#> 17    24.00      0  38        0         1
#> 131   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 137   24.00      0  45        1         0
#> 156   24.00      0  50        1         0
#> 126   24.00      0  48        0         0
#> 84.1  24.00      0  39        0         1
#> 34    24.00      0  36        0         0
#> 131.1 24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 178   24.00      0  52        1         0
#> 17.1  24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 3.1   24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 200   24.00      0  64        0         0
#> 193   24.00      0  45        0         1
#> 163   24.00      0  66        0         0
#> 2.1   24.00      0   9        0         0
#> 176   24.00      0  43        0         1
#> 173   24.00      0  19        0         1
#> 162   24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 112   24.00      0  61        0         0
#> 172   24.00      0  41        0         0
#> 193.1 24.00      0  45        0         1
#> 119   24.00      0  17        0         0
#> 120   24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 156.1 24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 182   24.00      0  35        0         0
#> 182.1 24.00      0  35        0         0
#> 54    24.00      0  53        1         0
#> 9     24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 44    24.00      0  56        0         0
#> 94    24.00      0  51        0         1
#> 48    24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 163.1 24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 174.1 24.00      0  49        1         0
#> 182.2 24.00      0  35        0         0
#> 119.1 24.00      0  17        0         0
#> 103.1 24.00      0  56        1         0
#> 98    24.00      0  34        1         0
#> 119.2 24.00      0  17        0         0
#> 64    24.00      0  43        0         0
#> 186   24.00      0  45        1         0
#> 7     24.00      0  37        1         0
#> 185   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 119.3 24.00      0  17        0         0
#> 87    24.00      0  27        0         0
#> 116   24.00      0  58        0         1
#> 20    24.00      0  46        1         0
#> 112.1 24.00      0  61        0         0
#> 82    24.00      0  34        0         0
#> 83    24.00      0   6        0         0
#> 72    24.00      0  40        0         1
#> 160   24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 198   24.00      0  66        0         1
#> 132   24.00      0  55        0         0
#> 73    24.00      0  NA        0         1
#> 28    24.00      0  67        1         0
#> 74    24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 44.1  24.00      0  56        0         0
#> 146   24.00      0  63        1         0
#> 172.1 24.00      0  41        0         0
#> 185.1 24.00      0  44        1         0
#> 34.1  24.00      0  36        0         0
#> 80    24.00      0  41        0         0
#> 112.2 24.00      0  61        0         0
#> 104   24.00      0  50        1         0
#> 144.1 24.00      0  28        0         1
#> 185.2 24.00      0  44        1         0
#> 54.1  24.00      0  53        1         0
#> 17.2  24.00      0  38        0         1
#> 186.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.58          NA        NA      NA
#> 2 age, Cure model           0.0261        NA        NA      NA
#> 3 grade_ii, Cure model      0.516         NA        NA      NA
#> 4 grade_iii, Cure model     0.937         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000821        NA        NA      NA
#> 2 grade_ii, Survival model   0.652           NA        NA      NA
#> 3 grade_iii, Survival model  0.488           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.57973           0.02607           0.51572           0.93664  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254.5 
#> Residual Deviance: 241.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.57973213       0.02607299       0.51572334       0.93664016 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0008214519     0.6518281444     0.4875132089 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.21639922 0.24354477 0.40022655 0.78263098 0.81351330 0.69358326
#>   [7] 0.09203977 0.13636567 0.33241785 0.60754344 0.49407835 0.37787090
#>  [13] 0.75062429 0.37787090 0.64281473 0.84399743 0.92444813 0.76672268
#>  [19] 0.27079882 0.35556663 0.47374159 0.92444813 0.18612203 0.82124001
#>  [25] 0.57165588 0.57165588 0.52406675 0.75062429 0.43229871 0.61645805
#>  [31] 0.92444813 0.30853156 0.50424345 0.83638580 0.53379833 0.27079882
#>  [37] 0.57165588 0.54354095 0.40022655 0.67698645 0.95214078 0.33241785
#>  [43] 0.70985180 0.82124001 0.91725881 0.79055634 0.96598061 0.35556663
#>  [49] 0.51423594 0.97965050 0.46319777 0.96598061 0.98648357 0.02463247
#>  [55] 0.64281473 0.79055634 0.15501309 0.62537886 0.87389703 0.11531781
#>  [61] 0.56228992 0.85155243 0.76672268 0.72613449 0.90275368 0.74242813
#>  [67] 0.54354095 0.87389703 0.62537886 0.42161976 0.95214078 0.69358326
#>  [73] 0.70985180 0.43229871 0.79055634 0.98648357 0.67698645 0.15501309
#>  [79] 0.02463247 0.92444813 0.21639922 0.29597319 0.65987296 0.72613449
#>  [85] 0.85906980 0.85906980 0.32066454 0.43229871 0.24354477 0.59855393
#>  [91] 0.87389703 0.91002303 0.66846144 0.87389703 0.06911509 0.20123835
#>  [97] 0.47374159 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   194   175   158    60    14    18   168   129    68   188    51   150    96 
#> 22.40 21.91 20.14 13.15 12.89 15.21 23.72 23.41 20.62 16.16 18.23 20.33 14.54 
#> 150.1   125    37   187    57   139   128   108 187.1    63   140    85   192 
#> 20.33 15.65 12.52  9.92 14.46 21.49 20.35 18.29  9.92 22.77 12.68 16.44 16.44 
#>   110  96.1    58   100 187.2    32    41   177    30 139.1 192.1   106 158.1 
#> 17.56 14.54 19.34 16.07  9.92 20.90 18.02 12.53 17.43 21.49 16.44 16.67 20.14 
#>   167    16  68.1   157 140.1   145   123   149 128.1   134    77     8 149.1 
#> 15.55  8.71 20.62 15.10 12.68 10.07 13.00  8.37 20.35 17.81  7.27 18.43  8.37 
#>    91    24 125.1 123.1    92    26   159   164   130    42  57.1   180    93 
#>  5.33 23.89 15.65 13.00 22.92 15.77 10.55 23.60 16.47 12.43 14.46 14.82 10.33 
#>   133 106.1 159.1  26.1   170  16.1  18.1 157.1    55 123.2  91.1 167.1  92.1 
#> 14.65 16.67 10.55 15.77 19.54  8.71 15.21 15.10 19.34 13.00  5.33 15.55 22.92 
#>  24.1 187.3 194.1    36     6 180.1    43  43.1   190  58.1 175.1    79 159.2 
#> 23.89  9.92 22.40 21.19 15.64 14.82 12.10 12.10 20.81 19.34 21.91 16.23 10.55 
#>    61    39 159.3    86    15 108.1   102    17   131    84   137   156   126 
#> 10.12 15.59 10.55 23.81 22.68 18.29 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.1    34 131.1     3   196   178  17.1     2   3.1   103   200   193   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1   176   173   162   165   151   112   172 193.1   119   120   144 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147   182 182.1    54     9    71   109    44    94    48 178.1 176.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.1   174 174.1 182.2 119.1 103.1    98 119.2    64   186     7   185   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.3    87   116    20 112.1    82    83    72   160    53   198   132    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74   152  44.1   146 172.1 185.1  34.1    80 112.2   104 144.1 185.2  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.2 186.1 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[13]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.000767307               0.673166952               0.422552249 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.02470658              0.01754841              0.34516734 
#>   grade_iii, Cure model 
#>              0.85607721 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 189   10.51      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 154   12.63      1  20        1         0
#> 52    10.42      1  52        0         1
#> 91     5.33      1  61        0         1
#> 88    18.37      1  47        0         0
#> 181   16.46      1  45        0         1
#> 37    12.52      1  57        1         0
#> 181.1 16.46      1  45        0         1
#> 180   14.82      1  37        0         0
#> 168   23.72      1  70        0         0
#> 68    20.62      1  44        0         0
#> 99    21.19      1  38        0         1
#> 127    3.53      1  62        0         1
#> 184   17.77      1  38        0         0
#> 180.1 14.82      1  37        0         0
#> 100   16.07      1  60        0         0
#> 76    19.22      1  54        0         1
#> 117   17.46      1  26        0         1
#> 195   11.76      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 49    12.19      1  48        1         0
#> 5     16.43      1  51        0         1
#> 60    13.15      1  38        1         0
#> 197   21.60      1  69        1         0
#> 88.1  18.37      1  47        0         0
#> 140   12.68      1  59        1         0
#> 52.1  10.42      1  52        0         1
#> 170   19.54      1  43        0         1
#> 58    19.34      1  39        0         0
#> 91.1   5.33      1  61        0         1
#> 175   21.91      1  43        0         0
#> 40    18.00      1  28        1         0
#> 58.1  19.34      1  39        0         0
#> 60.1  13.15      1  38        1         0
#> 43    12.10      1  61        0         1
#> 90    20.94      1  50        0         1
#> 194   22.40      1  38        0         1
#> 23    16.92      1  61        0         0
#> 170.1 19.54      1  43        0         1
#> 81    14.06      1  34        0         0
#> 79.1  16.23      1  54        1         0
#> 153   21.33      1  55        1         0
#> 50    10.02      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 49.1  12.19      1  48        1         0
#> 183    9.24      1  67        1         0
#> 16     8.71      1  71        0         1
#> 99.1  21.19      1  38        0         1
#> 24    23.89      1  38        0         0
#> 40.1  18.00      1  28        1         0
#> 155   13.08      1  26        0         0
#> 175.1 21.91      1  43        0         0
#> 49.2  12.19      1  48        1         0
#> 158   20.14      1  74        1         0
#> 92    22.92      1  47        0         1
#> 52.2  10.42      1  52        0         1
#> 16.1   8.71      1  71        0         1
#> 117.1 17.46      1  26        0         1
#> 184.1 17.77      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 57    14.46      1  45        0         1
#> 171   16.57      1  41        0         1
#> 29.1  15.45      1  68        1         0
#> 154.1 12.63      1  20        1         0
#> 187    9.92      1  39        1         0
#> 159   10.55      1  50        0         1
#> 91.2   5.33      1  61        0         1
#> 179   18.63      1  42        0         0
#> 164   23.60      1  76        0         1
#> 169   22.41      1  46        0         0
#> 125   15.65      1  67        1         0
#> 29.2  15.45      1  68        1         0
#> 125.1 15.65      1  67        1         0
#> 52.3  10.42      1  52        0         1
#> 167   15.55      1  56        1         0
#> 150   20.33      1  48        0         0
#> 145   10.07      1  65        1         0
#> 97    19.14      1  65        0         1
#> 76.1  19.22      1  54        0         1
#> 97.1  19.14      1  65        0         1
#> 105   19.75      1  60        0         0
#> 6     15.64      1  39        0         0
#> 154.2 12.63      1  20        1         0
#> 77     7.27      1  67        0         1
#> 140.1 12.68      1  59        1         0
#> 197.1 21.60      1  69        1         0
#> 155.1 13.08      1  26        0         0
#> 81.1  14.06      1  34        0         0
#> 190   20.81      1  42        1         0
#> 177   12.53      1  75        0         0
#> 37.1  12.52      1  57        1         0
#> 37.2  12.52      1  57        1         0
#> 139   21.49      1  63        1         0
#> 133   14.65      1  57        0         0
#> 149    8.37      1  33        1         0
#> 51    18.23      1  83        0         1
#> 107   11.18      1  54        1         0
#> 130   16.47      1  53        0         1
#> 180.2 14.82      1  37        0         0
#> 177.1 12.53      1  75        0         0
#> 134   17.81      1  47        1         0
#> 181.2 16.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 192   16.44      1  31        1         0
#> 63    22.77      1  31        1         0
#> 145.1 10.07      1  65        1         0
#> 108   18.29      1  39        0         1
#> 24.1  23.89      1  38        0         0
#> 79.2  16.23      1  54        1         0
#> 50.1  10.02      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 118   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 162   24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 47    24.00      0  38        0         1
#> 1     24.00      0  23        1         0
#> 137   24.00      0  45        1         0
#> 193   24.00      0  45        0         1
#> 46    24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 156   24.00      0  50        1         0
#> 116   24.00      0  58        0         1
#> 141   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 196   24.00      0  19        0         0
#> 185   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 34    24.00      0  36        0         0
#> 109   24.00      0  48        0         0
#> 122   24.00      0  66        0         0
#> 7.1   24.00      0  37        1         0
#> 3     24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 138   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 137.1 24.00      0  45        1         0
#> 176   24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 162.1 24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 132   24.00      0  55        0         0
#> 71    24.00      0  51        0         0
#> 176.1 24.00      0  43        0         1
#> 119   24.00      0  17        0         0
#> 31    24.00      0  36        0         1
#> 160   24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 126   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 82.1  24.00      0  34        0         0
#> 35    24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 193.1 24.00      0  45        0         1
#> 38    24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 143.2 24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 31.1  24.00      0  36        0         1
#> 162.2 24.00      0  51        0         0
#> 156.2 24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 200   24.00      0  64        0         0
#> 143.3 24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 122.1 24.00      0  66        0         0
#> 162.3 24.00      0  51        0         0
#> 165.1 24.00      0  47        0         0
#> 82.2  24.00      0  34        0         0
#> 160.1 24.00      0  31        1         0
#> 196.1 24.00      0  19        0         0
#> 121.1 24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 64.1  24.00      0  43        0         0
#> 141.1 24.00      0  44        1         0
#> 193.2 24.00      0  45        0         1
#> 141.2 24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 47.1  24.00      0  38        0         1
#> 191   24.00      0  60        0         1
#> 186   24.00      0  45        1         0
#> 160.2 24.00      0  31        1         0
#> 156.3 24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 112   24.00      0  61        0         0
#> 200.1 24.00      0  64        0         0
#> 146.1 24.00      0  63        1         0
#> 102   24.00      0  49        0         0
#> 112.1 24.00      0  61        0         0
#> 185.1 24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 17    24.00      0  38        0         1
#> 198.1 24.00      0  66        0         1
#> 95    24.00      0  68        0         1
#> 116.1 24.00      0  58        0         1
#> 103.1 24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.02          NA        NA      NA
#> 2 age, Cure model           0.0175        NA        NA      NA
#> 3 grade_ii, Cure model      0.345         NA        NA      NA
#> 4 grade_iii, Cure model     0.856         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000767        NA        NA      NA
#> 2 grade_ii, Survival model  0.673           NA        NA      NA
#> 3 grade_iii, Survival model 0.423           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.02471           0.01755           0.34517           0.85608  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 255.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.02470658       0.01754841       0.34516734       0.85607721 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.000767307      0.673166952      0.422552249 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.69495854 0.81017764 0.90263422 0.97635023 0.46513155 0.59163354
#>   [7] 0.84413334 0.59163354 0.71678148 0.06921484 0.32142541 0.27491284
#>  [13] 0.99407689 0.53037537 0.71678148 0.65643992 0.41646638 0.54811430
#>  [19] 0.63302052 0.86396232 0.62479426 0.76773222 0.22151228 0.46513155
#>  [25] 0.79620595 0.90263422 0.36568085 0.38637514 0.97635023 0.18991505
#>  [31] 0.50335012 0.38637514 0.76773222 0.88333169 0.29842218 0.17330811
#>  [37] 0.56553943 0.36568085 0.75321861 0.63302052 0.26226491 0.38637514
#>  [43] 0.86396232 0.94608079 0.95220058 0.27491284 0.02620505 0.50335012
#>  [49] 0.78197169 0.18991505 0.86396232 0.34395051 0.11787726 0.90263422
#>  [55] 0.95220058 0.54811430 0.53037537 0.74592278 0.57431363 0.69495854
#>  [61] 0.81017764 0.93991859 0.89623423 0.97635023 0.45542609 0.09542200
#>  [67] 0.15574222 0.66433663 0.69495854 0.66433663 0.90263422 0.68734946
#>  [73] 0.33269510 0.92755218 0.43620873 0.41646638 0.43620873 0.35482351
#>  [79] 0.67965120 0.81017764 0.97033945 0.79620595 0.22151228 0.78197169
#>  [85] 0.75321861 0.31014219 0.83052539 0.84413334 0.84413334 0.24894608
#>  [91] 0.73858536 0.96430602 0.49388800 0.88980736 0.58301148 0.71678148
#>  [97] 0.83052539 0.52142156 0.59163354 0.61650395 0.13810707 0.92755218
#> [103] 0.48431100 0.02620505 0.63302052 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    29   154    52    91    88   181    37 181.1   180   168    68    99   127 
#> 15.45 12.63 10.42  5.33 18.37 16.46 12.52 16.46 14.82 23.72 20.62 21.19  3.53 
#>   184 180.1   100    76   117    79    49     5    60   197  88.1   140  52.1 
#> 17.77 14.82 16.07 19.22 17.46 16.23 12.19 16.43 13.15 21.60 18.37 12.68 10.42 
#>   170    58  91.1   175    40  58.1  60.1    43    90   194    23 170.1    81 
#> 19.54 19.34  5.33 21.91 18.00 19.34 13.15 12.10 20.94 22.40 16.92 19.54 14.06 
#>  79.1   153    55  49.1   183    16  99.1    24  40.1   155 175.1  49.2   158 
#> 16.23 21.33 19.34 12.19  9.24  8.71 21.19 23.89 18.00 13.08 21.91 12.19 20.14 
#>    92  52.2  16.1 117.1 184.1    57   171  29.1 154.1   187   159  91.2   179 
#> 22.92 10.42  8.71 17.46 17.77 14.46 16.57 15.45 12.63  9.92 10.55  5.33 18.63 
#>   164   169   125  29.2 125.1  52.3   167   150   145    97  76.1  97.1   105 
#> 23.60 22.41 15.65 15.45 15.65 10.42 15.55 20.33 10.07 19.14 19.22 19.14 19.75 
#>     6 154.2    77 140.1 197.1 155.1  81.1   190   177  37.1  37.2   139   133 
#> 15.64 12.63  7.27 12.68 21.60 13.08 14.06 20.81 12.53 12.52 12.52 21.49 14.65 
#>   149    51   107   130 180.2 177.1   134 181.2   192    63 145.1   108  24.1 
#>  8.37 18.23 11.18 16.47 14.82 12.53 17.81 16.46 16.44 22.77 10.07 18.29 23.89 
#>  79.2   118    67   162   146    22    47     1   137   193    46   143   156 
#> 16.23 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116   141     7   196   185    65    34   109   122   7.1     3   165   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44 137.1   176   172 162.1   144   132    71 176.1   119    31   160    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126     9  82.1    35 143.1 193.1    38 156.1 143.2    64  31.1 162.2 156.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   200 143.3   121   198 122.1 162.3 165.1  82.2 160.1 196.1 121.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1 141.1 193.2 141.2    94  47.1   191   186 160.2 156.3   103   112 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.1   102 112.1 185.1   178    17 198.1    95 116.1 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[14]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002073983               0.457269354              -0.009754151 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.18325391              0.01154473              0.51709692 
#>   grade_iii, Cure model 
#>              1.52719816 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 150   20.33      1  48        0         0
#> 108   18.29      1  39        0         1
#> 59    10.16      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 59.1  10.16      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 111   17.45      1  47        0         1
#> 30    17.43      1  78        0         0
#> 164   23.60      1  76        0         1
#> 4     17.64      1  NA        0         1
#> 77     7.27      1  67        0         1
#> 150.2 20.33      1  48        0         0
#> 168   23.72      1  70        0         0
#> 134   17.81      1  47        1         0
#> 179   18.63      1  42        0         0
#> 111.1 17.45      1  47        0         1
#> 184   17.77      1  38        0         0
#> 125   15.65      1  67        1         0
#> 111.2 17.45      1  47        0         1
#> 187    9.92      1  39        1         0
#> 5     16.43      1  51        0         1
#> 159   10.55      1  50        0         1
#> 16     8.71      1  71        0         1
#> 192   16.44      1  31        1         0
#> 96    14.54      1  33        0         1
#> 154   12.63      1  20        1         0
#> 79    16.23      1  54        1         0
#> 91     5.33      1  61        0         1
#> 123   13.00      1  44        1         0
#> 180   14.82      1  37        0         0
#> 133   14.65      1  57        0         0
#> 4.1   17.64      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 92    22.92      1  47        0         1
#> 145   10.07      1  65        1         0
#> 39    15.59      1  37        0         1
#> 154.1 12.63      1  20        1         0
#> 140   12.68      1  59        1         0
#> 194   22.40      1  38        0         1
#> 190   20.81      1  42        1         0
#> 155   13.08      1  26        0         0
#> 69    23.23      1  25        0         1
#> 124    9.73      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 108.1 18.29      1  39        0         1
#> 197   21.60      1  69        1         0
#> 57    14.46      1  45        0         1
#> 69.1  23.23      1  25        0         1
#> 45    17.42      1  54        0         1
#> 55    19.34      1  69        0         1
#> 106   16.67      1  49        1         0
#> 125.1 15.65      1  67        1         0
#> 42    12.43      1  49        0         1
#> 8     18.43      1  32        0         0
#> 32    20.90      1  37        1         0
#> 167   15.55      1  56        1         0
#> 4.2   17.64      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 16.1   8.71      1  71        0         1
#> 89.1  11.44      1  NA        0         0
#> 134.1 17.81      1  47        1         0
#> 15    22.68      1  48        0         0
#> 55.1  19.34      1  69        0         1
#> 105   19.75      1  60        0         0
#> 101    9.97      1  10        0         1
#> 140.1 12.68      1  59        1         0
#> 114   13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 93    10.33      1  52        0         1
#> 55.2  19.34      1  69        0         1
#> 10    10.53      1  34        0         0
#> 130   16.47      1  53        0         1
#> 195   11.76      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 97    19.14      1  65        0         1
#> 51    18.23      1  83        0         1
#> 96.1  14.54      1  33        0         1
#> 195.1 11.76      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 124.1  9.73      1  NA        1         0
#> 89.2  11.44      1  NA        0         0
#> 91.1   5.33      1  61        0         1
#> 42.1  12.43      1  49        0         1
#> 136   21.83      1  43        0         1
#> 195.2 11.76      1  NA        1         0
#> 195.3 11.76      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 89.3  11.44      1  NA        0         0
#> 159.1 10.55      1  50        0         1
#> 89.4  11.44      1  NA        0         0
#> 194.1 22.40      1  38        0         1
#> 97.1  19.14      1  65        0         1
#> 153   21.33      1  55        1         0
#> 129   23.41      1  53        1         0
#> 52    10.42      1  52        0         1
#> 85    16.44      1  36        0         0
#> 51.1  18.23      1  83        0         1
#> 69.2  23.23      1  25        0         1
#> 86.1  23.81      1  58        0         1
#> 92.1  22.92      1  47        0         1
#> 86.2  23.81      1  58        0         1
#> 40    18.00      1  28        1         0
#> 61    10.12      1  36        0         1
#> 125.2 15.65      1  67        1         0
#> 57.1  14.46      1  45        0         1
#> 39.1  15.59      1  37        0         1
#> 192.1 16.44      1  31        1         0
#> 159.2 10.55      1  50        0         1
#> 41    18.02      1  40        1         0
#> 69.3  23.23      1  25        0         1
#> 90    20.94      1  50        0         1
#> 169   22.41      1  46        0         0
#> 165   24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 12    24.00      0  63        0         0
#> 53    24.00      0  32        0         1
#> 141   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 163   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 186   24.00      0  45        1         0
#> 35    24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 47    24.00      0  38        0         1
#> 11    24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 109   24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 178   24.00      0  52        1         0
#> 31    24.00      0  36        0         1
#> 148   24.00      0  61        1         0
#> 112   24.00      0  61        0         0
#> 31.1  24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 19    24.00      0  57        0         1
#> 148.1 24.00      0  61        1         0
#> 84    24.00      0  39        0         1
#> 137   24.00      0  45        1         0
#> 193   24.00      0  45        0         1
#> 143   24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 72    24.00      0  40        0         1
#> 21    24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 200.1 24.00      0  64        0         0
#> 54.1  24.00      0  53        1         0
#> 186.1 24.00      0  45        1         0
#> 19.1  24.00      0  57        0         1
#> 196   24.00      0  19        0         0
#> 103   24.00      0  56        1         0
#> 80    24.00      0  41        0         0
#> 21.1  24.00      0  47        0         0
#> 144.1 24.00      0  28        0         1
#> 65    24.00      0  57        1         0
#> 38    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 64    24.00      0  43        0         0
#> 72.1  24.00      0  40        0         1
#> 104   24.00      0  50        1         0
#> 112.1 24.00      0  61        0         0
#> 7.1   24.00      0  37        1         0
#> 151   24.00      0  42        0         0
#> 200.2 24.00      0  64        0         0
#> 165.1 24.00      0  47        0         0
#> 73    24.00      0  NA        0         1
#> 7.2   24.00      0  37        1         0
#> 186.2 24.00      0  45        1         0
#> 21.2  24.00      0  47        0         0
#> 102   24.00      0  49        0         0
#> 126   24.00      0  48        0         0
#> 115   24.00      0  NA        1         0
#> 182   24.00      0  35        0         0
#> 21.3  24.00      0  47        0         0
#> 72.2  24.00      0  40        0         1
#> 82    24.00      0  34        0         0
#> 131   24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 143.1 24.00      0  51        0         0
#> 73.1  24.00      0  NA        0         1
#> 118   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 74.1  24.00      0  43        0         1
#> 46    24.00      0  71        0         0
#> 135.1 24.00      0  58        1         0
#> 118.1 24.00      0  44        1         0
#> 72.3  24.00      0  40        0         1
#> 82.1  24.00      0  34        0         0
#> 95    24.00      0  68        0         1
#> 115.1 24.00      0  NA        1         0
#> 147   24.00      0  76        1         0
#> 65.1  24.00      0  57        1         0
#> 19.2  24.00      0  57        0         1
#> 44    24.00      0  56        0         0
#> 115.2 24.00      0  NA        1         0
#> 9     24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.18          NA        NA      NA
#> 2 age, Cure model           0.0115        NA        NA      NA
#> 3 grade_ii, Cure model      0.517         NA        NA      NA
#> 4 grade_iii, Cure model     1.53          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00207        NA        NA      NA
#> 2 grade_ii, Survival model   0.457          NA        NA      NA
#> 3 grade_iii, Survival model -0.00975        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.18325           0.01154           0.51710           1.52720  
#> 
#> Degrees of Freedom: 177 Total (i.e. Null);  174 Residual
#> Null Deviance:	    246 
#> Residual Deviance: 228.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.18325391       0.01154473       0.51709692       1.52719816 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002073983      0.457269354     -0.009754151 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.25369852 0.37066045 0.25369852 0.95998849 0.47894656 0.51053829
#>   [7] 0.04830235 0.96999331 0.25369852 0.03629526 0.43648863 0.34862286
#>  [13] 0.47894656 0.45756693 0.60577117 0.47894656 0.91989473 0.58470117
#>  [19] 0.82912878 0.93998456 0.55361125 0.68738260 0.76910779 0.59527461
#>  [25] 0.98001242 0.73866139 0.66684766 0.67710645 0.78901637 0.11009588
#>  [31] 0.89966645 0.63613737 0.76910779 0.74892998 0.15385711 0.24306138
#>  [37] 0.72832933 0.07232997 0.37066045 0.19881978 0.70782695 0.07232997
#>  [43] 0.52132783 0.29541085 0.53214303 0.60577117 0.79905261 0.35963080
#>  [49] 0.23221164 0.65660052 0.92995998 0.93998456 0.43648863 0.13137595
#>  [55] 0.29541085 0.28464848 0.90977890 0.74892998 0.17586045 0.87936406
#>  [61] 0.29541085 0.85911008 0.54286517 0.01162092 0.32701061 0.39250284
#>  [67] 0.68738260 0.81905168 0.98001242 0.79905261 0.18730688 0.46824921
#>  [73] 0.82912878 0.15385711 0.32701061 0.21009200 0.06080270 0.86923052
#>  [79] 0.55361125 0.39250284 0.07232997 0.01162092 0.11009588 0.01162092
#>  [85] 0.42558843 0.88951056 0.60577117 0.70782695 0.63613737 0.55361125
#>  [91] 0.82912878 0.41454954 0.07232997 0.22112210 0.14257600 0.00000000
#>  [97] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   150   108 150.1   149   111    30   164    77 150.2   168   134   179 111.1 
#> 20.33 18.29 20.33  8.37 17.45 17.43 23.60  7.27 20.33 23.72 17.81 18.63 17.45 
#>   184   125 111.2   187     5   159    16   192    96   154    79    91   123 
#> 17.77 15.65 17.45  9.92 16.43 10.55  8.71 16.44 14.54 12.63 16.23  5.33 13.00 
#>   180   133   177    92   145    39 154.1   140   194   190   155    69 108.1 
#> 14.82 14.65 12.53 22.92 10.07 15.59 12.63 12.68 22.40 20.81 13.08 23.23 18.29 
#>   197    57  69.1    45    55   106 125.1    42     8    32   167   183  16.1 
#> 21.60 14.46 23.23 17.42 19.34 16.67 15.65 12.43 18.43 20.90 15.55  9.24  8.71 
#> 134.1    15  55.1   105   101 140.1    66    93  55.2    10   130    86    97 
#> 17.81 22.68 19.34 19.75  9.97 12.68 22.13 10.33 19.34 10.53 16.47 23.81 19.14 
#>    51  96.1    43  91.1  42.1   136   117 159.1 194.1  97.1   153   129    52 
#> 18.23 14.54 12.10  5.33 12.43 21.83 17.46 10.55 22.40 19.14 21.33 23.41 10.42 
#>    85  51.1  69.2  86.1  92.1  86.2    40    61 125.2  57.1  39.1 192.1 159.2 
#> 16.44 18.23 23.23 23.81 22.92 23.81 18.00 10.12 15.65 14.46 15.59 16.44 10.55 
#>    41  69.3    90   169   165   144    12    53   141    27   163   142   200 
#> 18.02 23.23 20.94 22.41 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186    35   152    47    11   146    67   109     7   178    31   148   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1    75    19 148.1    84   137   193   143   135    72    21     3    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54 200.1  54.1 186.1  19.1   196   103    80  21.1 144.1    65    38   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64  72.1   104 112.1   7.1   151 200.2 165.1   7.2 186.2  21.2   102   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182  21.3  72.2    82   131   122 143.1   118    71  74.1    46 135.1 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.3  82.1    95   147  65.1  19.2    44     9  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[15]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003788024               0.316182889               0.235113239 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.031332217            -0.002393656             0.151265227 
#>   grade_iii, Cure model 
#>             0.554051488 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 158   20.14      1  74        1         0
#> 190   20.81      1  42        1         0
#> 39    15.59      1  37        0         1
#> 110   17.56      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 25     6.32      1  34        1         0
#> 78    23.88      1  43        0         0
#> 4     17.64      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 69    23.23      1  25        0         1
#> 52    10.42      1  52        0         1
#> 171   16.57      1  41        0         1
#> 66    22.13      1  53        0         0
#> 133   14.65      1  57        0         0
#> 59    10.16      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 158.1 20.14      1  74        1         0
#> 90    20.94      1  50        0         1
#> 175   21.91      1  43        0         0
#> 6     15.64      1  39        0         0
#> 77     7.27      1  67        0         1
#> 128   20.35      1  35        0         1
#> 86    23.81      1  58        0         1
#> 14    12.89      1  21        0         0
#> 106   16.67      1  49        1         0
#> 77.1   7.27      1  67        0         1
#> 110.1 17.56      1  65        0         1
#> 15    22.68      1  48        0         0
#> 99    21.19      1  38        0         1
#> 77.2   7.27      1  67        0         1
#> 154   12.63      1  20        1         0
#> 86.1  23.81      1  58        0         1
#> 40    18.00      1  28        1         0
#> 188   16.16      1  46        0         1
#> 159   10.55      1  50        0         1
#> 88    18.37      1  47        0         0
#> 30    17.43      1  78        0         0
#> 14.1  12.89      1  21        0         0
#> 86.2  23.81      1  58        0         1
#> 140   12.68      1  59        1         0
#> 129   23.41      1  53        1         0
#> 195.1 11.76      1  NA        1         0
#> 129.1 23.41      1  53        1         0
#> 194   22.40      1  38        0         1
#> 15.1  22.68      1  48        0         0
#> 41    18.02      1  40        1         0
#> 81    14.06      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 4.1   17.64      1  NA        0         1
#> 111.1 17.45      1  47        0         1
#> 51    18.23      1  83        0         1
#> 70     7.38      1  30        1         0
#> 18    15.21      1  49        1         0
#> 50    10.02      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 6.1   15.64      1  39        0         0
#> 125   15.65      1  67        1         0
#> 36    21.19      1  48        0         1
#> 51.1  18.23      1  83        0         1
#> 123   13.00      1  44        1         0
#> 66.1  22.13      1  53        0         0
#> 8     18.43      1  32        0         0
#> 101    9.97      1  10        0         1
#> 63    22.77      1  31        1         0
#> 45    17.42      1  54        0         1
#> 181   16.46      1  45        0         1
#> 145   10.07      1  65        1         0
#> 125.1 15.65      1  67        1         0
#> 63.1  22.77      1  31        1         0
#> 24    23.89      1  38        0         0
#> 79    16.23      1  54        1         0
#> 39.1  15.59      1  37        0         1
#> 117   17.46      1  26        0         1
#> 13    14.34      1  54        0         1
#> 93    10.33      1  52        0         1
#> 93.1  10.33      1  52        0         1
#> 197   21.60      1  69        1         0
#> 136   21.83      1  43        0         1
#> 66.2  22.13      1  53        0         0
#> 56    12.21      1  60        0         0
#> 164   23.60      1  76        0         1
#> 77.3   7.27      1  67        0         1
#> 14.2  12.89      1  21        0         0
#> 69.1  23.23      1  25        0         1
#> 184   17.77      1  38        0         0
#> 139   21.49      1  63        1         0
#> 99.1  21.19      1  38        0         1
#> 197.1 21.60      1  69        1         0
#> 10    10.53      1  34        0         0
#> 124    9.73      1  NA        1         0
#> 18.1  15.21      1  49        1         0
#> 14.3  12.89      1  21        0         0
#> 199   19.81      1  NA        0         1
#> 114.1 13.68      1  NA        0         0
#> 181.1 16.46      1  45        0         1
#> 57    14.46      1  45        0         1
#> 13.1  14.34      1  54        0         1
#> 107.1 11.18      1  54        1         0
#> 175.1 21.91      1  43        0         0
#> 79.1  16.23      1  54        1         0
#> 41.1  18.02      1  40        1         0
#> 50.1  10.02      1  NA        1         0
#> 197.2 21.60      1  69        1         0
#> 100   16.07      1  60        0         0
#> 190.1 20.81      1  42        1         0
#> 49    12.19      1  48        1         0
#> 23    16.92      1  61        0         0
#> 93.2  10.33      1  52        0         1
#> 5.1   16.43      1  51        0         1
#> 5.2   16.43      1  51        0         1
#> 158.2 20.14      1  74        1         0
#> 151   24.00      0  42        0         0
#> 104   24.00      0  50        1         0
#> 74    24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 34    24.00      0  36        0         0
#> 95    24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 28    24.00      0  67        1         0
#> 11    24.00      0  42        0         1
#> 34.1  24.00      0  36        0         0
#> 65    24.00      0  57        1         0
#> 73    24.00      0  NA        0         1
#> 53    24.00      0  32        0         1
#> 1     24.00      0  23        1         0
#> 73.1  24.00      0  NA        0         1
#> 75    24.00      0  21        1         0
#> 121   24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 95.1  24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 21    24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 80    24.00      0  41        0         0
#> 62    24.00      0  71        0         0
#> 28.1  24.00      0  67        1         0
#> 94    24.00      0  51        0         1
#> 135   24.00      0  58        1         0
#> 27    24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 38    24.00      0  31        1         0
#> 121.1 24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 146   24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 73.2  24.00      0  NA        0         1
#> 94.1  24.00      0  51        0         1
#> 103   24.00      0  56        1         0
#> 147   24.00      0  76        1         0
#> 120   24.00      0  68        0         1
#> 80.1  24.00      0  41        0         0
#> 47.1  24.00      0  38        0         1
#> 3     24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 72    24.00      0  40        0         1
#> 135.1 24.00      0  58        1         0
#> 143   24.00      0  51        0         0
#> 47.2  24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 102.1 24.00      0  49        0         0
#> 12    24.00      0  63        0         0
#> 191   24.00      0  60        0         1
#> 104.1 24.00      0  50        1         0
#> 104.2 24.00      0  50        1         0
#> 148   24.00      0  61        1         0
#> 7.1   24.00      0  37        1         0
#> 193   24.00      0  45        0         1
#> 176.1 24.00      0  43        0         1
#> 3.1   24.00      0  31        1         0
#> 147.1 24.00      0  76        1         0
#> 21.1  24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 7.2   24.00      0  37        1         0
#> 71    24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 95.2  24.00      0  68        0         1
#> 19.1  24.00      0  57        0         1
#> 95.3  24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 196   24.00      0  19        0         0
#> 193.1 24.00      0  45        0         1
#> 161   24.00      0  45        0         0
#> 44    24.00      0  56        0         0
#> 198   24.00      0  66        0         1
#> 148.1 24.00      0  61        1         0
#> 200   24.00      0  64        0         0
#> 72.1  24.00      0  40        0         1
#> 143.1 24.00      0  51        0         0
#> 120.1 24.00      0  68        0         1
#> 44.1  24.00      0  56        0         0
#> 163   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 143.2 24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 116   24.00      0  58        0         1
#> 3.2   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0313         NA        NA      NA
#> 2 age, Cure model         -0.00239        NA        NA      NA
#> 3 grade_ii, Cure model     0.151          NA        NA      NA
#> 4 grade_iii, Cure model    0.554          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00379        NA        NA      NA
#> 2 grade_ii, Survival model   0.316          NA        NA      NA
#> 3 grade_iii, Survival model  0.235          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.031332         -0.002394          0.151265          0.554051  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 254 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.031332217     -0.002393656      0.151265227      0.554051488 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003788024      0.316182889      0.235113239 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.330539979 0.300899474 0.672639205 0.438493157 0.556383803 0.990403368
#>   [7] 0.017934484 0.846610289 0.092394692 0.885213310 0.526980122 0.161176245
#>  [13] 0.711285446 0.467931374 0.330539979 0.290779487 0.190559637 0.653222850
#>  [19] 0.952496575 0.320578270 0.032124003 0.769496319 0.517087095 0.952496575
#>  [25] 0.438493157 0.131443806 0.261417875 0.952496575 0.817487465 0.032124003
#>  [31] 0.418735205 0.614390679 0.865856312 0.369378476 0.487402280 0.769496319
#>  [37] 0.032124003 0.807758535 0.071856463 0.071856463 0.151080696 0.131443806
#>  [43] 0.399133485 0.750053184 0.467931374 0.379358162 0.942882313 0.691999935
#>  [49] 0.566195834 0.653222850 0.633885470 0.261417875 0.379358162 0.759784780
#>  [55] 0.161176245 0.359442584 0.933245992 0.112287070 0.497287987 0.536857749
#>  [61] 0.923587929 0.633885470 0.112287070 0.005651409 0.595061939 0.672639205
#>  [67] 0.458068182 0.730746331 0.894894158 0.894894158 0.221466854 0.211016514
#>  [73] 0.161176245 0.827185029 0.060313966 0.952496575 0.769496319 0.092394692
#>  [79] 0.428598913 0.251142525 0.261417875 0.221466854 0.875528346 0.691999935
#>  [85] 0.769496319 0.536857749 0.721020273 0.730746331 0.846610289 0.190559637
#>  [91] 0.595061939 0.399133485 0.221466854 0.624122598 0.300899474 0.836905763
#>  [97] 0.507167605 0.894894158 0.566195834 0.566195834 0.330539979 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   158   190    39   110   192    25    78   107    69    52   171    66   133 
#> 20.14 20.81 15.59 17.56 16.44  6.32 23.88 11.18 23.23 10.42 16.57 22.13 14.65 
#>   111 158.1    90   175     6    77   128    86    14   106  77.1 110.1    15 
#> 17.45 20.14 20.94 21.91 15.64  7.27 20.35 23.81 12.89 16.67  7.27 17.56 22.68 
#>    99  77.2   154  86.1    40   188   159    88    30  14.1  86.2   140   129 
#> 21.19  7.27 12.63 23.81 18.00 16.16 10.55 18.37 17.43 12.89 23.81 12.68 23.41 
#> 129.1   194  15.1    41    81 111.1    51    70    18     5   6.1   125    36 
#> 23.41 22.40 22.68 18.02 14.06 17.45 18.23  7.38 15.21 16.43 15.64 15.65 21.19 
#>  51.1   123  66.1     8   101    63    45   181   145 125.1  63.1    24    79 
#> 18.23 13.00 22.13 18.43  9.97 22.77 17.42 16.46 10.07 15.65 22.77 23.89 16.23 
#>  39.1   117    13    93  93.1   197   136  66.2    56   164  77.3  14.2  69.1 
#> 15.59 17.46 14.34 10.33 10.33 21.60 21.83 22.13 12.21 23.60  7.27 12.89 23.23 
#>   184   139  99.1 197.1    10  18.1  14.3 181.1    57  13.1 107.1 175.1  79.1 
#> 17.77 21.49 21.19 21.60 10.53 15.21 12.89 16.46 14.46 14.34 11.18 21.91 16.23 
#>  41.1 197.2   100 190.1    49    23  93.2   5.1   5.2 158.2   151   104    74 
#> 18.02 21.60 16.07 20.81 12.19 16.92 10.33 16.43 16.43 20.14 24.00 24.00 24.00 
#>   112    34    95   141    19    28    11  34.1    65    53     1    75   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    84  95.1   176    47    21   172    80    62  28.1    94   135    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7    38 121.1    82   146    98  94.1   103   147   120  80.1  47.1     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102    72 135.1   143  47.2   156 102.1    12   191 104.1 104.2   148   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193 176.1   3.1 147.1  21.1   126   7.2    71   138  95.2  19.1  95.3   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196 193.1   161    44   198 148.1   200  72.1 143.1 120.1  44.1   163   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.2   182   116   3.2 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[16]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005119782               0.419262408               0.448404961 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.4783725               0.0149831              -0.1649353 
#>   grade_iii, Cure model 
#>               0.1362228 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 129   23.41      1  53        1         0
#> 108   18.29      1  39        0         1
#> 140   12.68      1  59        1         0
#> 32    20.90      1  37        1         0
#> 177   12.53      1  75        0         0
#> 42    12.43      1  49        0         1
#> 30    17.43      1  78        0         0
#> 14    12.89      1  21        0         0
#> 195   11.76      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 190   20.81      1  42        1         0
#> 195.1 11.76      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 24    23.89      1  38        0         0
#> 124    9.73      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 150   20.33      1  48        0         0
#> 49    12.19      1  48        1         0
#> 91     5.33      1  61        0         1
#> 91.1   5.33      1  61        0         1
#> 168   23.72      1  70        0         0
#> 192   16.44      1  31        1         0
#> 43    12.10      1  61        0         1
#> 30.1  17.43      1  78        0         0
#> 69    23.23      1  25        0         1
#> 192.1 16.44      1  31        1         0
#> 26    15.77      1  49        0         1
#> 37    12.52      1  57        1         0
#> 158   20.14      1  74        1         0
#> 51    18.23      1  83        0         1
#> 169   22.41      1  46        0         0
#> 39    15.59      1  37        0         1
#> 40    18.00      1  28        1         0
#> 133   14.65      1  57        0         0
#> 60    13.15      1  38        1         0
#> 8     18.43      1  32        0         0
#> 140.1 12.68      1  59        1         0
#> 69.1  23.23      1  25        0         1
#> 107   11.18      1  54        1         0
#> 85    16.44      1  36        0         0
#> 192.2 16.44      1  31        1         0
#> 184   17.77      1  38        0         0
#> 4     17.64      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 184.1 17.77      1  38        0         0
#> 180   14.82      1  37        0         0
#> 184.2 17.77      1  38        0         0
#> 139   21.49      1  63        1         0
#> 168.1 23.72      1  70        0         0
#> 79    16.23      1  54        1         0
#> 195.2 11.76      1  NA        1         0
#> 26.1  15.77      1  49        0         1
#> 8.1   18.43      1  32        0         0
#> 13    14.34      1  54        0         1
#> 183    9.24      1  67        1         0
#> 106   16.67      1  49        1         0
#> 195.3 11.76      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 108.1 18.29      1  39        0         1
#> 78    23.88      1  43        0         0
#> 170   19.54      1  43        0         1
#> 8.2   18.43      1  32        0         0
#> 32.1  20.90      1  37        1         0
#> 32.2  20.90      1  37        1         0
#> 175   21.91      1  43        0         0
#> 93    10.33      1  52        0         1
#> 81    14.06      1  34        0         0
#> 63    22.77      1  31        1         0
#> 90    20.94      1  50        0         1
#> 86    23.81      1  58        0         1
#> 175.1 21.91      1  43        0         0
#> 36    21.19      1  48        0         1
#> 197   21.60      1  69        1         0
#> 52    10.42      1  52        0         1
#> 37.1  12.52      1  57        1         0
#> 105   19.75      1  60        0         0
#> 117   17.46      1  26        0         1
#> 30.2  17.43      1  78        0         0
#> 85.1  16.44      1  36        0         0
#> 180.1 14.82      1  37        0         0
#> 127    3.53      1  62        0         1
#> 167   15.55      1  56        1         0
#> 154.1 12.63      1  20        1         0
#> 23    16.92      1  61        0         0
#> 43.1  12.10      1  61        0         1
#> 79.1  16.23      1  54        1         0
#> 170.1 19.54      1  43        0         1
#> 49.1  12.19      1  48        1         0
#> 85.2  16.44      1  36        0         0
#> 56    12.21      1  60        0         0
#> 181   16.46      1  45        0         1
#> 183.1  9.24      1  67        1         0
#> 39.1  15.59      1  37        0         1
#> 192.3 16.44      1  31        1         0
#> 195.4 11.76      1  NA        1         0
#> 63.1  22.77      1  31        1         0
#> 91.2   5.33      1  61        0         1
#> 88    18.37      1  47        0         0
#> 153   21.33      1  55        1         0
#> 66    22.13      1  53        0         0
#> 155   13.08      1  26        0         0
#> 188   16.16      1  46        0         1
#> 97    19.14      1  65        0         1
#> 18    15.21      1  49        1         0
#> 171   16.57      1  41        0         1
#> 14.1  12.89      1  21        0         0
#> 153.1 21.33      1  55        1         0
#> 188.1 16.16      1  46        0         1
#> 45    17.42      1  54        0         1
#> 113.1 22.86      1  34        0         0
#> 10    10.53      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 185   24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 143   24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 193   24.00      0  45        0         1
#> 27    24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 53    24.00      0  32        0         1
#> 35    24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 31    24.00      0  36        0         1
#> 116   24.00      0  58        0         1
#> 31.1  24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 115   24.00      0  NA        1         0
#> 174   24.00      0  49        1         0
#> 173   24.00      0  19        0         1
#> 119   24.00      0  17        0         0
#> 147   24.00      0  76        1         0
#> 11    24.00      0  42        0         1
#> 74    24.00      0  43        0         1
#> 178   24.00      0  52        1         0
#> 200   24.00      0  64        0         0
#> 119.1 24.00      0  17        0         0
#> 143.1 24.00      0  51        0         0
#> 7.1   24.00      0  37        1         0
#> 34    24.00      0  36        0         0
#> 71    24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 156   24.00      0  50        1         0
#> 44    24.00      0  56        0         0
#> 173.1 24.00      0  19        0         1
#> 87    24.00      0  27        0         0
#> 122   24.00      0  66        0         0
#> 31.2  24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 54    24.00      0  53        1         0
#> 122.1 24.00      0  66        0         0
#> 2.1   24.00      0   9        0         0
#> 35.1  24.00      0  51        0         0
#> 174.1 24.00      0  49        1         0
#> 38    24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 122.2 24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 144   24.00      0  28        0         1
#> 62    24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 54.1  24.00      0  53        1         0
#> 48.1  24.00      0  31        1         0
#> 31.3  24.00      0  36        0         1
#> 122.3 24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 115.1 24.00      0  NA        1         0
#> 102   24.00      0  49        0         0
#> 44.1  24.00      0  56        0         0
#> 121   24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 120.1 24.00      0  68        0         1
#> 193.1 24.00      0  45        0         1
#> 182   24.00      0  35        0         0
#> 1     24.00      0  23        1         0
#> 178.1 24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 72.1  24.00      0  40        0         1
#> 193.2 24.00      0  45        0         1
#> 121.1 24.00      0  57        1         0
#> 72.2  24.00      0  40        0         1
#> 22.1  24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 121.2 24.00      0  57        1         0
#> 72.3  24.00      0  40        0         1
#> 186   24.00      0  45        1         0
#> 80    24.00      0  41        0         0
#> 31.4  24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 35.2  24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 121.3 24.00      0  57        1         0
#> 87.1  24.00      0  27        0         0
#> 138   24.00      0  44        1         0
#> 176.1 24.00      0  43        0         1
#> 185.1 24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.478         NA        NA      NA
#> 2 age, Cure model           0.0150        NA        NA      NA
#> 3 grade_ii, Cure model     -0.165         NA        NA      NA
#> 4 grade_iii, Cure model     0.136         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00512        NA        NA      NA
#> 2 grade_ii, Survival model   0.419          NA        NA      NA
#> 3 grade_iii, Survival model  0.448          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.47837           0.01498          -0.16494           0.13622  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 258.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.4783725        0.0149831       -0.1649353        0.1362228 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005119782      0.419262408      0.448404961 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.17125496 0.55707317 0.86451839 0.41796454 0.88933562 0.90764726
#>   [7] 0.62235983 0.85185662 0.22213449 0.44764022 0.38528529 0.03073930
#>  [13] 0.87698712 0.45756054 0.91972756 0.97785730 0.97785730 0.13084107
#>  [19] 0.69134168 0.93160722 0.62235983 0.19042382 0.69134168 0.76720168
#>  [25] 0.89551131 0.46742130 0.57384434 0.28121130 0.78059516 0.58212212
#>  [31] 0.81980623 0.83911905 0.52261471 0.86451839 0.19042382 0.94331670
#>  [37] 0.69134168 0.69134168 0.59031195 0.67644735 0.59031195 0.80686997
#>  [43] 0.59031195 0.34956000 0.13084107 0.73968634 0.76720168 0.52261471
#>  [49] 0.82628270 0.96653221 0.66121677 0.50480555 0.55707317 0.07001753
#>  [55] 0.48657833 0.52261471 0.41796454 0.41796454 0.30955015 0.96077565
#>  [61] 0.83270558 0.25301568 0.40717117 0.10511757 0.30955015 0.38528529
#>  [67] 0.33645205 0.95498287 0.89551131 0.47703439 0.61433059 0.62235983
#>  [73] 0.69134168 0.80686997 0.99446772 0.79378666 0.87698712 0.65347556
#>  [79] 0.93160722 0.73968634 0.48657833 0.91972756 0.69134168 0.91369459
#>  [85] 0.68393390 0.96653221 0.78059516 0.69134168 0.25301568 0.97785730
#>  [91] 0.54838315 0.36214892 0.29548654 0.84549125 0.75356727 0.51380148
#>  [97] 0.80035383 0.66887244 0.85185662 0.36214892 0.75356727 0.64570058
#> [103] 0.22213449 0.94915319 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   129   108   140    32   177    42    30    14   113   190    99    24   154 
#> 23.41 18.29 12.68 20.90 12.53 12.43 17.43 12.89 22.86 20.81 21.19 23.89 12.63 
#>   150    49    91  91.1   168   192    43  30.1    69 192.1    26    37   158 
#> 20.33 12.19  5.33  5.33 23.72 16.44 12.10 17.43 23.23 16.44 15.77 12.52 20.14 
#>    51   169    39    40   133    60     8 140.1  69.1   107    85 192.2   184 
#> 18.23 22.41 15.59 18.00 14.65 13.15 18.43 12.68 23.23 11.18 16.44 16.44 17.77 
#>   130 184.1   180 184.2   139 168.1    79  26.1   8.1    13   183   106    55 
#> 16.47 17.77 14.82 17.77 21.49 23.72 16.23 15.77 18.43 14.34  9.24 16.67 19.34 
#> 108.1    78   170   8.2  32.1  32.2   175    93    81    63    90    86 175.1 
#> 18.29 23.88 19.54 18.43 20.90 20.90 21.91 10.33 14.06 22.77 20.94 23.81 21.91 
#>    36   197    52  37.1   105   117  30.2  85.1 180.1   127   167 154.1    23 
#> 21.19 21.60 10.42 12.52 19.75 17.46 17.43 16.44 14.82  3.53 15.55 12.63 16.92 
#>  43.1  79.1 170.1  49.1  85.2    56   181 183.1  39.1 192.3  63.1  91.2    88 
#> 12.10 16.23 19.54 12.19 16.44 12.21 16.46  9.24 15.59 16.44 22.77  5.33 18.37 
#>   153    66   155   188    97    18   171  14.1 153.1 188.1    45 113.1    10 
#> 21.33 22.13 13.08 16.16 19.14 15.21 16.57 12.89 21.33 16.16 17.42 22.86 10.53 
#>   185   137   143    72   193    27     7    53    35   196    31   116  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82   174   173   119   147    11    74   178   200 119.1 143.1   7.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71     2   156    44 173.1    87   122  31.2   198    54 122.1   2.1  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1    38   120 122.2   118    48   148   144    62    22  54.1  48.1  31.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.3   172   102  44.1   121     9   176 120.1 193.1   182     1 178.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1 193.2 121.1  72.2  22.1   142 121.2  72.3   186    80  31.4    83  35.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135 121.3  87.1   138 176.1 185.1     3 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[17]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02145881                0.35237067                0.31715646 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.332394490            -0.008908087             0.056377581 
#>   grade_iii, Cure model 
#>             0.818139278 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 195   11.76      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 127    3.53      1  62        0         1
#> 61    10.12      1  36        0         1
#> 5     16.43      1  51        0         1
#> 14    12.89      1  21        0         0
#> 150   20.33      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 30    17.43      1  78        0         0
#> 190   20.81      1  42        1         0
#> 127.1  3.53      1  62        0         1
#> 41    18.02      1  40        1         0
#> 89    11.44      1  NA        0         0
#> 29    15.45      1  68        1         0
#> 171   16.57      1  41        0         1
#> 110   17.56      1  65        0         1
#> 37    12.52      1  57        1         0
#> 25     6.32      1  34        1         0
#> 166   19.98      1  48        0         0
#> 129   23.41      1  53        1         0
#> 40    18.00      1  28        1         0
#> 14.1  12.89      1  21        0         0
#> 125   15.65      1  67        1         0
#> 158   20.14      1  74        1         0
#> 13    14.34      1  54        0         1
#> 105   19.75      1  60        0         0
#> 39    15.59      1  37        0         1
#> 55    19.34      1  69        0         1
#> 181   16.46      1  45        0         1
#> 154   12.63      1  20        1         0
#> 5.1   16.43      1  51        0         1
#> 32    20.90      1  37        1         0
#> 195.1 11.76      1  NA        1         0
#> 29.1  15.45      1  68        1         0
#> 61.1  10.12      1  36        0         1
#> 52    10.42      1  52        0         1
#> 15    22.68      1  48        0         0
#> 164   23.60      1  76        0         1
#> 168   23.72      1  70        0         0
#> 36.1  21.19      1  48        0         1
#> 99    21.19      1  38        0         1
#> 13.1  14.34      1  54        0         1
#> 110.1 17.56      1  65        0         1
#> 195.2 11.76      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 92    22.92      1  47        0         1
#> 140   12.68      1  59        1         0
#> 68    20.62      1  44        0         0
#> 123   13.00      1  44        1         0
#> 154.1 12.63      1  20        1         0
#> 40.1  18.00      1  28        1         0
#> 5.2   16.43      1  51        0         1
#> 101    9.97      1  10        0         1
#> 107   11.18      1  54        1         0
#> 169   22.41      1  46        0         0
#> 155   13.08      1  26        0         0
#> 187    9.92      1  39        1         0
#> 96    14.54      1  33        0         1
#> 136   21.83      1  43        0         1
#> 199   19.81      1  NA        0         1
#> 190.1 20.81      1  42        1         0
#> 183    9.24      1  67        1         0
#> 42    12.43      1  49        0         1
#> 190.2 20.81      1  42        1         0
#> 127.2  3.53      1  62        0         1
#> 175.1 21.91      1  43        0         0
#> 25.1   6.32      1  34        1         0
#> 184   17.77      1  38        0         0
#> 170   19.54      1  43        0         1
#> 14.2  12.89      1  21        0         0
#> 60    13.15      1  38        1         0
#> 190.3 20.81      1  42        1         0
#> 136.1 21.83      1  43        0         1
#> 14.3  12.89      1  21        0         0
#> 134   17.81      1  47        1         0
#> 29.2  15.45      1  68        1         0
#> 37.1  12.52      1  57        1         0
#> 129.1 23.41      1  53        1         0
#> 23    16.92      1  61        0         0
#> 113.1 22.86      1  34        0         0
#> 171.1 16.57      1  41        0         1
#> 86    23.81      1  58        0         1
#> 117   17.46      1  26        0         1
#> 129.2 23.41      1  53        1         0
#> 13.2  14.34      1  54        0         1
#> 96.1  14.54      1  33        0         1
#> 76    19.22      1  54        0         1
#> 117.1 17.46      1  26        0         1
#> 81    14.06      1  34        0         0
#> 177   12.53      1  75        0         0
#> 101.1  9.97      1  10        0         1
#> 86.1  23.81      1  58        0         1
#> 32.1  20.90      1  37        1         0
#> 68.1  20.62      1  44        0         0
#> 68.2  20.62      1  44        0         0
#> 175.2 21.91      1  43        0         0
#> 155.1 13.08      1  26        0         0
#> 41.1  18.02      1  40        1         0
#> 130   16.47      1  53        0         1
#> 93    10.33      1  52        0         1
#> 6     15.64      1  39        0         0
#> 128   20.35      1  35        0         1
#> 179   18.63      1  42        0         0
#> 184.1 17.77      1  38        0         0
#> 140.1 12.68      1  59        1         0
#> 133   14.65      1  57        0         0
#> 68.3  20.62      1  44        0         0
#> 169.1 22.41      1  46        0         0
#> 45    17.42      1  54        0         1
#> 58    19.34      1  39        0         0
#> 122   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 27    24.00      0  63        1         0
#> 31    24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 109   24.00      0  48        0         0
#> 34    24.00      0  36        0         0
#> 47    24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 46    24.00      0  71        0         0
#> 120   24.00      0  68        0         1
#> 151.1 24.00      0  42        0         0
#> 193   24.00      0  45        0         1
#> 54    24.00      0  53        1         0
#> 151.2 24.00      0  42        0         0
#> 74    24.00      0  43        0         1
#> 46.1  24.00      0  71        0         0
#> 84    24.00      0  39        0         1
#> 121   24.00      0  57        1         0
#> 109.1 24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 109.2 24.00      0  48        0         0
#> 27.1  24.00      0  63        1         0
#> 120.1 24.00      0  68        0         1
#> 162   24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 116   24.00      0  58        0         1
#> 75    24.00      0  21        1         0
#> 115   24.00      0  NA        1         0
#> 17    24.00      0  38        0         1
#> 135   24.00      0  58        1         0
#> 116.1 24.00      0  58        0         1
#> 178.1 24.00      0  52        1         0
#> 75.1  24.00      0  21        1         0
#> 138   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 146   24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 186   24.00      0  45        1         0
#> 182   24.00      0  35        0         0
#> 7     24.00      0  37        1         0
#> 87    24.00      0  27        0         0
#> 146.1 24.00      0  63        1         0
#> 121.1 24.00      0  57        1         0
#> 160   24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 120.2 24.00      0  68        0         1
#> 120.3 24.00      0  68        0         1
#> 178.2 24.00      0  52        1         0
#> 186.1 24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 119   24.00      0  17        0         0
#> 200   24.00      0  64        0         0
#> 75.2  24.00      0  21        1         0
#> 27.2  24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 131   24.00      0  66        0         0
#> 186.2 24.00      0  45        1         0
#> 64    24.00      0  43        0         0
#> 47.1  24.00      0  38        0         1
#> 65    24.00      0  57        1         0
#> 22    24.00      0  52        1         0
#> 95.1  24.00      0  68        0         1
#> 75.3  24.00      0  21        1         0
#> 20    24.00      0  46        1         0
#> 74.1  24.00      0  43        0         1
#> 20.1  24.00      0  46        1         0
#> 135.1 24.00      0  58        1         0
#> 186.3 24.00      0  45        1         0
#> 9.1   24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 109.3 24.00      0  48        0         0
#> 132   24.00      0  55        0         0
#> 7.1   24.00      0  37        1         0
#> 102   24.00      0  49        0         0
#> 11    24.00      0  42        0         1
#> 67.1  24.00      0  25        0         0
#> 200.1 24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 193.1 24.00      0  45        0         1
#> 67.2  24.00      0  25        0         0
#> 12    24.00      0  63        0         0
#> 62    24.00      0  71        0         0
#> 165.1 24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.332          NA        NA      NA
#> 2 age, Cure model         -0.00891        NA        NA      NA
#> 3 grade_ii, Cure model     0.0564         NA        NA      NA
#> 4 grade_iii, Cure model    0.818          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0215        NA        NA      NA
#> 2 grade_ii, Survival model    0.352         NA        NA      NA
#> 3 grade_iii, Survival model   0.317         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.332394         -0.008908          0.056378          0.818139  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 257.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.332394490     -0.008908087      0.056377581      0.818139278 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02145881       0.35237067       0.31715646 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 1.203911e-02 9.441391e-01 8.017700e-01 3.033100e-01 5.615445e-01
#>   [6] 8.216923e-02 2.509616e-02 2.324027e-01 4.232951e-02 9.441391e-01
#>  [11] 1.409431e-01 3.717220e-01 2.616811e-01 1.966013e-01 7.000461e-01
#>  [16] 9.079012e-01 9.357117e-02 9.479464e-04 1.561618e-01 5.615445e-01
#>  [21] 3.362572e-01 8.773887e-02 4.482347e-01 9.964702e-02 3.597257e-01
#>  [26] 1.125381e-01 2.925605e-01 6.523291e-01 3.033100e-01 3.490874e-02
#>  [31] 3.717220e-01 8.017700e-01 7.669656e-01 6.562316e-03 4.346886e-04
#>  [36] 1.621010e-04 2.509616e-02 2.509616e-02 4.482347e-01 1.966013e-01
#>  [41] 4.036780e-03 2.939320e-03 6.209553e-01 5.801938e-02 5.466602e-01
#>  [46] 6.523291e-01 1.561618e-01 3.033100e-01 8.369607e-01 7.498816e-01
#>  [51] 8.206299e-03 5.176450e-01 8.719925e-01 4.219704e-01 1.922338e-02
#>  [56] 4.232951e-02 8.898269e-01 7.330103e-01 4.232951e-02 9.441391e-01
#>  [61] 1.203911e-02 9.079012e-01 1.798577e-01 1.060035e-01 5.615445e-01
#>  [66] 5.032777e-01 4.232951e-02 1.922338e-02 5.615445e-01 1.717149e-01
#>  [71] 3.717220e-01 7.000461e-01 9.479464e-04 2.516603e-01 4.036780e-03
#>  [76] 2.616811e-01 1.293781e-05 2.143417e-01 9.479464e-04 4.482347e-01
#>  [81] 4.219704e-01 1.261944e-01 2.143417e-01 4.890608e-01 6.838152e-01
#>  [86] 8.369607e-01 1.293781e-05 3.490874e-02 5.801938e-02 5.801938e-02
#>  [91] 1.203911e-02 5.176450e-01 1.409431e-01 2.819961e-01 7.842616e-01
#>  [96] 3.478793e-01 7.683224e-02 1.334478e-01 1.798577e-01 6.209553e-01
#> [101] 4.088951e-01 5.801938e-02 8.206299e-03 2.419225e-01 1.125381e-01
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   175   127    61     5    14   150    36    30   190 127.1    41    29   171 
#> 21.91  3.53 10.12 16.43 12.89 20.33 21.19 17.43 20.81  3.53 18.02 15.45 16.57 
#>   110    37    25   166   129    40  14.1   125   158    13   105    39    55 
#> 17.56 12.52  6.32 19.98 23.41 18.00 12.89 15.65 20.14 14.34 19.75 15.59 19.34 
#>   181   154   5.1    32  29.1  61.1    52    15   164   168  36.1    99  13.1 
#> 16.46 12.63 16.43 20.90 15.45 10.12 10.42 22.68 23.60 23.72 21.19 21.19 14.34 
#> 110.1   113    92   140    68   123 154.1  40.1   5.2   101   107   169   155 
#> 17.56 22.86 22.92 12.68 20.62 13.00 12.63 18.00 16.43  9.97 11.18 22.41 13.08 
#>   187    96   136 190.1   183    42 190.2 127.2 175.1  25.1   184   170  14.2 
#>  9.92 14.54 21.83 20.81  9.24 12.43 20.81  3.53 21.91  6.32 17.77 19.54 12.89 
#>    60 190.3 136.1  14.3   134  29.2  37.1 129.1    23 113.1 171.1    86   117 
#> 13.15 20.81 21.83 12.89 17.81 15.45 12.52 23.41 16.92 22.86 16.57 23.81 17.46 
#> 129.2  13.2  96.1    76 117.1    81   177 101.1  86.1  32.1  68.1  68.2 175.2 
#> 23.41 14.34 14.54 19.22 17.46 14.06 12.53  9.97 23.81 20.90 20.62 20.62 21.91 
#> 155.1  41.1   130    93     6   128   179 184.1 140.1   133  68.3 169.1    45 
#> 13.08 18.02 16.47 10.33 15.64 20.35 18.63 17.77 12.68 14.65 20.62 22.41 17.42 
#>    58   122    21   178    27    31   151   109    34    47     2    46   120 
#> 19.34 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1   193    54 151.2    74  46.1    84   121 109.1    67 109.2  27.1 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162    19   116    75    17   135 116.1 178.1  75.1   138   143   137   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   147   186   182     7    87 146.1 121.1   160     9 120.2 120.3 178.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1    95    83   119   200  75.2  27.2    53   131 186.2    64  47.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22  95.1  75.3    20  74.1  20.1 135.1 186.3   9.1   126 109.3   132   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102    11  67.1 200.1   165 193.1  67.2    12    62 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[18]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004815909               0.290529878               0.302666949 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.0762070660           -0.0006307045           -0.0065525427 
#>   grade_iii, Cure model 
#>            0.8397699921 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 170   19.54      1  43        0         1
#> 154   12.63      1  20        1         0
#> 113   22.86      1  34        0         0
#> 194   22.40      1  38        0         1
#> 57    14.46      1  45        0         1
#> 136   21.83      1  43        0         1
#> 5     16.43      1  51        0         1
#> 134   17.81      1  47        1         0
#> 140   12.68      1  59        1         0
#> 93    10.33      1  52        0         1
#> 77     7.27      1  67        0         1
#> 23    16.92      1  61        0         0
#> 136.1 21.83      1  43        0         1
#> 177   12.53      1  75        0         0
#> 26    15.77      1  49        0         1
#> 13    14.34      1  54        0         1
#> 16     8.71      1  71        0         1
#> 92    22.92      1  47        0         1
#> 127    3.53      1  62        0         1
#> 6     15.64      1  39        0         0
#> 39    15.59      1  37        0         1
#> 68    20.62      1  44        0         0
#> 79    16.23      1  54        1         0
#> 171   16.57      1  41        0         1
#> 59    10.16      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 79.1  16.23      1  54        1         0
#> 136.2 21.83      1  43        0         1
#> 113.1 22.86      1  34        0         0
#> 26.1  15.77      1  49        0         1
#> 81    14.06      1  34        0         0
#> 16.1   8.71      1  71        0         1
#> 23.1  16.92      1  61        0         0
#> 66    22.13      1  53        0         0
#> 14    12.89      1  21        0         0
#> 97    19.14      1  65        0         1
#> 108   18.29      1  39        0         1
#> 113.2 22.86      1  34        0         0
#> 123   13.00      1  44        1         0
#> 133   14.65      1  57        0         0
#> 63    22.77      1  31        1         0
#> 45    17.42      1  54        0         1
#> 81.1  14.06      1  34        0         0
#> 171.1 16.57      1  41        0         1
#> 107.1 11.18      1  54        1         0
#> 43    12.10      1  61        0         1
#> 85    16.44      1  36        0         0
#> 92.1  22.92      1  47        0         1
#> 192   16.44      1  31        1         0
#> 39.1  15.59      1  37        0         1
#> 136.3 21.83      1  43        0         1
#> 169   22.41      1  46        0         0
#> 63.1  22.77      1  31        1         0
#> 139   21.49      1  63        1         0
#> 199   19.81      1  NA        0         1
#> 50    10.02      1  NA        1         0
#> 85.1  16.44      1  36        0         0
#> 86    23.81      1  58        0         1
#> 55    19.34      1  69        0         1
#> 139.1 21.49      1  63        1         0
#> 170.1 19.54      1  43        0         1
#> 158   20.14      1  74        1         0
#> 97.1  19.14      1  65        0         1
#> 5.1   16.43      1  51        0         1
#> 78    23.88      1  43        0         0
#> 111   17.45      1  47        0         1
#> 58    19.34      1  39        0         0
#> 129   23.41      1  53        1         0
#> 16.2   8.71      1  71        0         1
#> 96    14.54      1  33        0         1
#> 78.1  23.88      1  43        0         0
#> 30    17.43      1  78        0         0
#> 59.1  10.16      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 129.1 23.41      1  53        1         0
#> 189   10.51      1  NA        1         0
#> 111.1 17.45      1  47        0         1
#> 190   20.81      1  42        1         0
#> 43.1  12.10      1  61        0         1
#> 158.1 20.14      1  74        1         0
#> 127.1  3.53      1  62        0         1
#> 188   16.16      1  46        0         1
#> 134.1 17.81      1  47        1         0
#> 90    20.94      1  50        0         1
#> 159   10.55      1  50        0         1
#> 32    20.90      1  37        1         0
#> 164   23.60      1  76        0         1
#> 14.1  12.89      1  21        0         0
#> 195   11.76      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 154.1 12.63      1  20        1         0
#> 66.1  22.13      1  53        0         0
#> 92.2  22.92      1  47        0         1
#> 195.1 11.76      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 39.2  15.59      1  37        0         1
#> 164.1 23.60      1  76        0         1
#> 177.1 12.53      1  75        0         0
#> 130   16.47      1  53        0         1
#> 30.1  17.43      1  78        0         0
#> 36    21.19      1  48        0         1
#> 136.4 21.83      1  43        0         1
#> 101    9.97      1  10        0         1
#> 88    18.37      1  47        0         0
#> 194.1 22.40      1  38        0         1
#> 167   15.55      1  56        1         0
#> 26.2  15.77      1  49        0         1
#> 101.1  9.97      1  10        0         1
#> 4     17.64      1  NA        0         1
#> 184   17.77      1  38        0         0
#> 70     7.38      1  30        1         0
#> 105   19.75      1  60        0         0
#> 152   24.00      0  36        0         1
#> 11    24.00      0  42        0         1
#> 87    24.00      0  27        0         0
#> 122   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 2     24.00      0   9        0         0
#> 147   24.00      0  76        1         0
#> 143   24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 131   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 33    24.00      0  53        0         0
#> 64    24.00      0  43        0         0
#> 196   24.00      0  19        0         0
#> 196.1 24.00      0  19        0         0
#> 104.1 24.00      0  50        1         0
#> 53    24.00      0  32        0         1
#> 73    24.00      0  NA        0         1
#> 33.1  24.00      0  53        0         0
#> 126   24.00      0  48        0         0
#> 185   24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 21    24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 80    24.00      0  41        0         0
#> 73.1  24.00      0  NA        0         1
#> 120   24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 95.1  24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 176   24.00      0  43        0         1
#> 31    24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 73.2  24.00      0  NA        0         1
#> 44    24.00      0  56        0         0
#> 174   24.00      0  49        1         0
#> 54    24.00      0  53        1         0
#> 95.2  24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 35    24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 94    24.00      0  51        0         1
#> 74    24.00      0  43        0         1
#> 72    24.00      0  40        0         1
#> 12.1  24.00      0  63        0         0
#> 115.1 24.00      0  NA        1         0
#> 84    24.00      0  39        0         1
#> 1     24.00      0  23        1         0
#> 28    24.00      0  67        1         0
#> 138   24.00      0  44        1         0
#> 33.2  24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 116.1 24.00      0  58        0         1
#> 116.2 24.00      0  58        0         1
#> 198   24.00      0  66        0         1
#> 148   24.00      0  61        1         0
#> 163   24.00      0  66        0         0
#> 147.1 24.00      0  76        1         0
#> 165   24.00      0  47        0         0
#> 12.2  24.00      0  63        0         0
#> 12.3  24.00      0  63        0         0
#> 147.2 24.00      0  76        1         0
#> 80.1  24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 74.1  24.00      0  43        0         1
#> 118   24.00      0  44        1         0
#> 95.3  24.00      0  68        0         1
#> 72.1  24.00      0  40        0         1
#> 102   24.00      0  49        0         0
#> 11.1  24.00      0  42        0         1
#> 1.1   24.00      0  23        1         0
#> 2.1   24.00      0   9        0         0
#> 20    24.00      0  46        1         0
#> 193   24.00      0  45        0         1
#> 48    24.00      0  31        1         0
#> 152.1 24.00      0  36        0         1
#> 48.1  24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 138.1 24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 156   24.00      0  50        1         0
#> 84.1  24.00      0  39        0         1
#> 20.1  24.00      0  46        1         0
#> 34.1  24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0762          NA        NA      NA
#> 2 age, Cure model         -0.000631        NA        NA      NA
#> 3 grade_ii, Cure model    -0.00655         NA        NA      NA
#> 4 grade_iii, Cure model    0.840           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00482        NA        NA      NA
#> 2 grade_ii, Survival model   0.291          NA        NA      NA
#> 3 grade_iii, Survival model  0.303          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.0762071        -0.0006307        -0.0065525         0.8397700  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    256.9 
#> Residual Deviance: 249.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.0762070660    -0.0006307045    -0.0065525427     0.8397699921 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004815909      0.290529878      0.302666949 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.338035199 0.808393494 0.102716149 0.159967626 0.721752207 0.198614818
#>   [7] 0.577663623 0.423913340 0.798730554 0.904527332 0.971342776 0.500413980
#>  [13] 0.198614818 0.827506537 0.625991871 0.731387330 0.933255021 0.075715543
#>  [19] 0.980926900 0.654590450 0.664290161 0.299977474 0.596980964 0.519814610
#>  [25] 0.875656147 0.596980964 0.198614818 0.102716149 0.625991871 0.741016933
#>  [31] 0.933255021 0.500413980 0.179055581 0.779520098 0.375950900 0.404643782
#>  [37] 0.102716149 0.769877962 0.702438608 0.130873215 0.490714492 0.741016933
#>  [43] 0.519814610 0.875656147 0.856425982 0.548875273 0.075715543 0.548875273
#>  [49] 0.664290161 0.198614818 0.149965568 0.130873215 0.242993553 0.548875273
#>  [55] 0.024646765 0.356942490 0.242993553 0.338035199 0.309522242 0.375950900
#>  [61] 0.577663623 0.007203447 0.452509677 0.356942490 0.055918140 0.933255021
#>  [67] 0.712105529 0.007203447 0.471490874 0.846754367 0.055918140 0.452509677
#>  [73] 0.290490368 0.856425982 0.309522242 0.980926900 0.616279040 0.423913340
#>  [79] 0.271420429 0.894873273 0.280974617 0.035947959 0.779520098 0.760225939
#>  [85] 0.808393494 0.179055581 0.075715543 0.414290077 0.664290161 0.035947959
#>  [91] 0.827506537 0.539135328 0.471490874 0.261844765 0.198614818 0.914175869
#>  [97] 0.394969431 0.159967626 0.692803520 0.625991871 0.914175869 0.442885111
#> [103] 0.961760526 0.328390791 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>   170   154   113   194    57   136     5   134   140    93    77    23 136.1 
#> 19.54 12.63 22.86 22.40 14.46 21.83 16.43 17.81 12.68 10.33  7.27 16.92 21.83 
#>   177    26    13    16    92   127     6    39    68    79   171   107  79.1 
#> 12.53 15.77 14.34  8.71 22.92  3.53 15.64 15.59 20.62 16.23 16.57 11.18 16.23 
#> 136.2 113.1  26.1    81  16.1  23.1    66    14    97   108 113.2   123   133 
#> 21.83 22.86 15.77 14.06  8.71 16.92 22.13 12.89 19.14 18.29 22.86 13.00 14.65 
#>    63    45  81.1 171.1 107.1    43    85  92.1   192  39.1 136.3   169  63.1 
#> 22.77 17.42 14.06 16.57 11.18 12.10 16.44 22.92 16.44 15.59 21.83 22.41 22.77 
#>   139  85.1    86    55 139.1 170.1   158  97.1   5.1    78   111    58   129 
#> 21.49 16.44 23.81 19.34 21.49 19.54 20.14 19.14 16.43 23.88 17.45 19.34 23.41 
#>  16.2    96  78.1    30    42 129.1 111.1   190  43.1 158.1 127.1   188 134.1 
#>  8.71 14.54 23.88 17.43 12.43 23.41 17.45 20.81 12.10 20.14  3.53 16.16 17.81 
#>    90   159    32   164  14.1    60 154.1  66.1  92.2    41  39.2 164.1 177.1 
#> 20.94 10.55 20.90 23.60 12.89 13.15 12.63 22.13 22.92 18.02 15.59 23.60 12.53 
#>   130  30.1    36 136.4   101    88 194.1   167  26.2 101.1   184    70   105 
#> 16.47 17.43 21.19 21.83  9.97 18.37 22.40 15.55 15.77  9.97 17.77  7.38 19.75 
#>   152    11    87   122   178     2   147   143   116   131    95   104   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33    64   196 196.1 104.1    53  33.1   126   185    12    21    22    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120  95.1   132   176    31    71    44   174    54  95.2   137    34    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119    94    74    72  12.1    84     1    28   138  33.2    65 116.1 116.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198   148   163 147.1   165  12.2  12.3 147.2  80.1    47  74.1   118  95.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1   102  11.1   1.1   2.1    20   193    48 152.1  48.1   141 138.1   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   156  84.1  20.1  34.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[19]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002847261               0.322415332               0.410306207 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.03647856              0.02220617             -0.09237595 
#>   grade_iii, Cure model 
#>              0.56041518 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 58    19.34      1  39        0         0
#> 8     18.43      1  32        0         0
#> 189   10.51      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 106   16.67      1  49        1         0
#> 155   13.08      1  26        0         0
#> 129   23.41      1  53        1         0
#> 76    19.22      1  54        0         1
#> 49    12.19      1  48        1         0
#> 183    9.24      1  67        1         0
#> 199   19.81      1  NA        0         1
#> 37    12.52      1  57        1         0
#> 29    15.45      1  68        1         0
#> 189.1 10.51      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 139   21.49      1  63        1         0
#> 10    10.53      1  34        0         0
#> 39    15.59      1  37        0         1
#> 139.1 21.49      1  63        1         0
#> 91     5.33      1  61        0         1
#> 58.1  19.34      1  39        0         0
#> 169   22.41      1  46        0         0
#> 77     7.27      1  67        0         1
#> 58.2  19.34      1  39        0         0
#> 127    3.53      1  62        0         1
#> 63    22.77      1  31        1         0
#> 24    23.89      1  38        0         0
#> 42    12.43      1  49        0         1
#> 166   19.98      1  48        0         0
#> 39.1  15.59      1  37        0         1
#> 30    17.43      1  78        0         0
#> 169.1 22.41      1  46        0         0
#> 23    16.92      1  61        0         0
#> 129.1 23.41      1  53        1         0
#> 195   11.76      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 158   20.14      1  74        1         0
#> 55    19.34      1  69        0         1
#> 187    9.92      1  39        1         0
#> 85    16.44      1  36        0         0
#> 158.1 20.14      1  74        1         0
#> 45    17.42      1  54        0         1
#> 157   15.10      1  47        0         0
#> 16     8.71      1  71        0         1
#> 168   23.72      1  70        0         0
#> 108   18.29      1  39        0         1
#> 55.1  19.34      1  69        0         1
#> 114   13.68      1  NA        0         0
#> 63.1  22.77      1  31        1         0
#> 117   17.46      1  26        0         1
#> 56    12.21      1  60        0         0
#> 107   11.18      1  54        1         0
#> 61    10.12      1  36        0         1
#> 192   16.44      1  31        1         0
#> 63.2  22.77      1  31        1         0
#> 111   17.45      1  47        0         1
#> 189.2 10.51      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 92    22.92      1  47        0         1
#> 41    18.02      1  40        1         0
#> 136   21.83      1  43        0         1
#> 192.1 16.44      1  31        1         0
#> 114.1 13.68      1  NA        0         0
#> 158.2 20.14      1  74        1         0
#> 177.1 12.53      1  75        0         0
#> 30.1  17.43      1  78        0         0
#> 30.2  17.43      1  78        0         0
#> 167   15.55      1  56        1         0
#> 150   20.33      1  48        0         0
#> 149    8.37      1  33        1         0
#> 192.2 16.44      1  31        1         0
#> 49.1  12.19      1  48        1         0
#> 25     6.32      1  34        1         0
#> 5     16.43      1  51        0         1
#> 192.3 16.44      1  31        1         0
#> 51    18.23      1  83        0         1
#> 164   23.60      1  76        0         1
#> 58.3  19.34      1  39        0         0
#> 153   21.33      1  55        1         0
#> 61.1  10.12      1  36        0         1
#> 100   16.07      1  60        0         0
#> 155.1 13.08      1  26        0         0
#> 97    19.14      1  65        0         1
#> 199.1 19.81      1  NA        0         1
#> 153.1 21.33      1  55        1         0
#> 130   16.47      1  53        0         1
#> 13    14.34      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 197   21.60      1  69        1         0
#> 30.3  17.43      1  78        0         0
#> 155.2 13.08      1  26        0         0
#> 154   12.63      1  20        1         0
#> 107.1 11.18      1  54        1         0
#> 168.1 23.72      1  70        0         0
#> 199.2 19.81      1  NA        0         1
#> 183.1  9.24      1  67        1         0
#> 166.1 19.98      1  48        0         0
#> 129.2 23.41      1  53        1         0
#> 183.2  9.24      1  67        1         0
#> 190   20.81      1  42        1         0
#> 42.1  12.43      1  49        0         1
#> 169.2 22.41      1  46        0         0
#> 124    9.73      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 16.1   8.71      1  71        0         1
#> 114.2 13.68      1  NA        0         0
#> 149.1  8.37      1  33        1         0
#> 170   19.54      1  43        0         1
#> 136.1 21.83      1  43        0         1
#> 86    23.81      1  58        0         1
#> 76.1  19.22      1  54        0         1
#> 123   13.00      1  44        1         0
#> 121   24.00      0  57        1         0
#> 11    24.00      0  42        0         1
#> 174   24.00      0  49        1         0
#> 27    24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 27.1  24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 103   24.00      0  56        1         0
#> 54    24.00      0  53        1         0
#> 12.1  24.00      0  63        0         0
#> 72    24.00      0  40        0         1
#> 165   24.00      0  47        0         0
#> 148   24.00      0  61        1         0
#> 98    24.00      0  34        1         0
#> 72.1  24.00      0  40        0         1
#> 131   24.00      0  66        0         0
#> 44    24.00      0  56        0         0
#> 3     24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 148.1 24.00      0  61        1         0
#> 126   24.00      0  48        0         0
#> 176   24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 3.1   24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 54.1  24.00      0  53        1         0
#> 67    24.00      0  25        0         0
#> 131.1 24.00      0  66        0         0
#> 54.2  24.00      0  53        1         0
#> 118   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 11.1  24.00      0  42        0         1
#> 165.1 24.00      0  47        0         0
#> 121.1 24.00      0  57        1         0
#> 95    24.00      0  68        0         1
#> 148.2 24.00      0  61        1         0
#> 135   24.00      0  58        1         0
#> 2     24.00      0   9        0         0
#> 119   24.00      0  17        0         0
#> 160   24.00      0  31        1         0
#> 121.2 24.00      0  57        1         0
#> 84    24.00      0  39        0         1
#> 119.1 24.00      0  17        0         0
#> 80    24.00      0  41        0         0
#> 186   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 138   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 53    24.00      0  32        0         1
#> 84.1  24.00      0  39        0         1
#> 182   24.00      0  35        0         0
#> 22    24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 146.1 24.00      0  63        1         0
#> 34    24.00      0  36        0         0
#> 135.1 24.00      0  58        1         0
#> 84.2  24.00      0  39        0         1
#> 135.2 24.00      0  58        1         0
#> 46    24.00      0  71        0         0
#> 21    24.00      0  47        0         0
#> 131.2 24.00      0  66        0         0
#> 121.3 24.00      0  57        1         0
#> 73    24.00      0  NA        0         1
#> 22.1  24.00      0  52        1         0
#> 19    24.00      0  57        0         1
#> 80.1  24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 7     24.00      0  37        1         0
#> 35    24.00      0  51        0         0
#> 98.1  24.00      0  34        1         0
#> 11.2  24.00      0  42        0         1
#> 109   24.00      0  48        0         0
#> 64.1  24.00      0  43        0         0
#> 115   24.00      0  NA        1         0
#> 98.2  24.00      0  34        1         0
#> 135.3 24.00      0  58        1         0
#> 38    24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 118.1 24.00      0  44        1         0
#> 165.2 24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 135.4 24.00      0  58        1         0
#> 196.1 24.00      0  19        0         0
#> 46.1  24.00      0  71        0         0
#> 11.3  24.00      0  42        0         1
#> 7.1   24.00      0  37        1         0
#> 161   24.00      0  45        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.04          NA        NA      NA
#> 2 age, Cure model           0.0222        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0924        NA        NA      NA
#> 4 grade_iii, Cure model     0.560         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00285        NA        NA      NA
#> 2 grade_ii, Survival model   0.322          NA        NA      NA
#> 3 grade_iii, Survival model  0.410          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.03648           0.02221          -0.09238           0.56042  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 249.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.03647856       0.02220617      -0.09237595       0.56041518 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002847261      0.322415332      0.410306207 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.352972726 0.439095773 0.020554866 0.583106228 0.730928981 0.090538250
#>   [7] 0.409681154 0.831179114 0.903094256 0.794792326 0.703328670 0.448957795
#>  [13] 0.231186481 0.867217516 0.675753722 0.231186481 0.982471228 0.352972726
#>  [19] 0.167468405 0.964859954 0.352972726 0.991245818 0.136331396 0.006745204
#>  [25] 0.803959525 0.322576254 0.675753722 0.526348834 0.167468405 0.573494519
#>  [31] 0.090538250 0.776527294 0.292946861 0.352972726 0.894135349 0.602220635
#>  [37] 0.292946861 0.563908429 0.712530265 0.929595420 0.049948300 0.458847032
#>  [43] 0.352972726 0.136331396 0.507266928 0.822061760 0.849233428 0.876265371
#>  [49] 0.602220635 0.136331396 0.516835925 0.497625236 0.124266814 0.487936129
#>  [55] 0.199348564 0.602220635 0.292946861 0.776527294 0.526348834 0.526348834
#>  [61] 0.694110499 0.282590050 0.947269799 0.602220635 0.831179114 0.973675668
#>  [67] 0.647739976 0.602220635 0.468662480 0.076450474 0.352972726 0.251884603
#>  [73] 0.876265371 0.657070130 0.730928981 0.429253012 0.251884603 0.592686250
#>  [79] 0.721746769 0.468662480 0.220444120 0.526348834 0.730928981 0.767382052
#>  [85] 0.849233428 0.049948300 0.903094256 0.322576254 0.090538250 0.903094256
#>  [91] 0.272281536 0.803959525 0.167468405 0.666421138 0.929595420 0.947269799
#>  [97] 0.342805748 0.199348564 0.036024397 0.409681154 0.758203555 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    58     8    78   106   155   129    76    49   183    37    29    88   139 
#> 19.34 18.43 23.88 16.67 13.08 23.41 19.22 12.19  9.24 12.52 15.45 18.37 21.49 
#>    10    39 139.1    91  58.1   169    77  58.2   127    63    24    42   166 
#> 10.53 15.59 21.49  5.33 19.34 22.41  7.27 19.34  3.53 22.77 23.89 12.43 19.98 
#>  39.1    30 169.1    23 129.1   177   158    55   187    85 158.1    45   157 
#> 15.59 17.43 22.41 16.92 23.41 12.53 20.14 19.34  9.92 16.44 20.14 17.42 15.10 
#>    16   168   108  55.1  63.1   117    56   107    61   192  63.2   111   110 
#>  8.71 23.72 18.29 19.34 22.77 17.46 12.21 11.18 10.12 16.44 22.77 17.45 17.56 
#>    92    41   136 192.1 158.2 177.1  30.1  30.2   167   150   149 192.2  49.1 
#> 22.92 18.02 21.83 16.44 20.14 12.53 17.43 17.43 15.55 20.33  8.37 16.44 12.19 
#>    25     5 192.3    51   164  58.3   153  61.1   100 155.1    97 153.1   130 
#>  6.32 16.43 16.44 18.23 23.60 19.34 21.33 10.12 16.07 13.08 19.14 21.33 16.47 
#>    13  51.1   197  30.3 155.2   154 107.1 168.1 183.1 166.1 129.2 183.2   190 
#> 14.34 18.23 21.60 17.43 13.08 12.63 11.18 23.72  9.24 19.98 23.41  9.24 20.81 
#>  42.1 169.2   125  16.1 149.1   170 136.1    86  76.1   123   121    11   174 
#> 12.43 22.41 15.65  8.71  8.37 19.54 21.83 23.81 19.22 13.00 24.00 24.00 24.00 
#>    27   178  27.1    12   103    54  12.1    72   165   148    98  72.1   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44     3   173 148.1   126   176   112   3.1  44.1  54.1    67 131.1  54.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118   104  11.1 165.1 121.1    95 148.2   135     2   119   160 121.2    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1    80   186   116   138    94    53  84.1   182    22   146 146.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1  84.2 135.2    46    21 131.2 121.3  22.1    19  80.1    64     7    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1  11.2   109  64.1  98.2 135.3    38   196 118.1 165.2    48   152 135.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1  46.1  11.3   7.1   161 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[20]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002632963               0.379044155               0.029999809 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.36769764              0.02387603              0.43339501 
#>   grade_iii, Cure model 
#>              0.74061013 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 184   17.77      1  38        0         0
#> 157   15.10      1  47        0         0
#> 88    18.37      1  47        0         0
#> 110   17.56      1  65        0         1
#> 32    20.90      1  37        1         0
#> 86    23.81      1  58        0         1
#> 168   23.72      1  70        0         0
#> 157.1 15.10      1  47        0         0
#> 57    14.46      1  45        0         1
#> 76    19.22      1  54        0         1
#> 106   16.67      1  49        1         0
#> 97    19.14      1  65        0         1
#> 81    14.06      1  34        0         0
#> 91     5.33      1  61        0         1
#> 68    20.62      1  44        0         0
#> 18    15.21      1  49        1         0
#> 187    9.92      1  39        1         0
#> 139   21.49      1  63        1         0
#> 32.1  20.90      1  37        1         0
#> 171   16.57      1  41        0         1
#> 88.1  18.37      1  47        0         0
#> 32.2  20.90      1  37        1         0
#> 153   21.33      1  55        1         0
#> 81.1  14.06      1  34        0         0
#> 8     18.43      1  32        0         0
#> 52    10.42      1  52        0         1
#> 69    23.23      1  25        0         1
#> 111   17.45      1  47        0         1
#> 91.1   5.33      1  61        0         1
#> 139.1 21.49      1  63        1         0
#> 192   16.44      1  31        1         0
#> 188   16.16      1  46        0         1
#> 110.1 17.56      1  65        0         1
#> 30    17.43      1  78        0         0
#> 61    10.12      1  36        0         1
#> 123   13.00      1  44        1         0
#> 170   19.54      1  43        0         1
#> 56    12.21      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 192.1 16.44      1  31        1         0
#> 167   15.55      1  56        1         0
#> 113   22.86      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 52.1  10.42      1  52        0         1
#> 79    16.23      1  54        1         0
#> 18.1  15.21      1  49        1         0
#> 167.1 15.55      1  56        1         0
#> 192.2 16.44      1  31        1         0
#> 15    22.68      1  48        0         0
#> 168.1 23.72      1  70        0         0
#> 4     17.64      1  NA        0         1
#> 68.1  20.62      1  44        0         0
#> 164   23.60      1  76        0         1
#> 25     6.32      1  34        1         0
#> 36    21.19      1  48        0         1
#> 190   20.81      1  42        1         0
#> 88.2  18.37      1  47        0         0
#> 158   20.14      1  74        1         0
#> 128   20.35      1  35        0         1
#> 129   23.41      1  53        1         0
#> 194   22.40      1  38        0         1
#> 32.3  20.90      1  37        1         0
#> 4.1   17.64      1  NA        0         1
#> 79.1  16.23      1  54        1         0
#> 140   12.68      1  59        1         0
#> 51    18.23      1  83        0         1
#> 177   12.53      1  75        0         0
#> 91.2   5.33      1  61        0         1
#> 199   19.81      1  NA        0         1
#> 199.1 19.81      1  NA        0         1
#> 177.1 12.53      1  75        0         0
#> 169   22.41      1  46        0         0
#> 113.1 22.86      1  34        0         0
#> 37    12.52      1  57        1         0
#> 40    18.00      1  28        1         0
#> 60    13.15      1  38        1         0
#> 93    10.33      1  52        0         1
#> 49    12.19      1  48        1         0
#> 100   16.07      1  60        0         0
#> 52.2  10.42      1  52        0         1
#> 88.3  18.37      1  47        0         0
#> 59    10.16      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 30.1  17.43      1  78        0         0
#> 123.1 13.00      1  44        1         0
#> 154   12.63      1  20        1         0
#> 5     16.43      1  51        0         1
#> 114.1 13.68      1  NA        0         0
#> 158.1 20.14      1  74        1         0
#> 177.2 12.53      1  75        0         0
#> 4.2   17.64      1  NA        0         1
#> 136   21.83      1  43        0         1
#> 125   15.65      1  67        1         0
#> 4.3   17.64      1  NA        0         1
#> 189   10.51      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 170.1 19.54      1  43        0         1
#> 107   11.18      1  54        1         0
#> 8.1   18.43      1  32        0         0
#> 49.1  12.19      1  48        1         0
#> 183    9.24      1  67        1         0
#> 136.1 21.83      1  43        0         1
#> 184.1 17.77      1  38        0         0
#> 23    16.92      1  61        0         0
#> 158.2 20.14      1  74        1         0
#> 194.1 22.40      1  38        0         1
#> 85    16.44      1  36        0         0
#> 197   21.60      1  69        1         0
#> 29    15.45      1  68        1         0
#> 52.3  10.42      1  52        0         1
#> 76.1  19.22      1  54        0         1
#> 122   24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 131   24.00      0  66        0         0
#> 27    24.00      0  63        1         0
#> 21    24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 3     24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 47    24.00      0  38        0         1
#> 173   24.00      0  19        0         1
#> 34    24.00      0  36        0         0
#> 27.1  24.00      0  63        1         0
#> 143   24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 200   24.00      0  64        0         0
#> 146   24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 38.1  24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 21.1  24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 35    24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 34.1  24.00      0  36        0         0
#> 193   24.00      0  45        0         1
#> 185   24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 94    24.00      0  51        0         1
#> 196   24.00      0  19        0         0
#> 121   24.00      0  57        1         0
#> 34.2  24.00      0  36        0         0
#> 174   24.00      0  49        1         0
#> 196.1 24.00      0  19        0         0
#> 38.2  24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 135   24.00      0  58        1         0
#> 141   24.00      0  44        1         0
#> 21.2  24.00      0  47        0         0
#> 65    24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 3.1   24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 72.1  24.00      0  40        0         1
#> 71    24.00      0  51        0         0
#> 9.1   24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 121.1 24.00      0  57        1         0
#> 35.1  24.00      0  51        0         0
#> 174.1 24.00      0  49        1         0
#> 122.1 24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 165   24.00      0  47        0         0
#> 146.1 24.00      0  63        1         0
#> 161   24.00      0  45        0         0
#> 65.1  24.00      0  57        1         0
#> 176   24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 147   24.00      0  76        1         0
#> 72.2  24.00      0  40        0         1
#> 176.1 24.00      0  43        0         1
#> 138   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 2     24.00      0   9        0         0
#> 87    24.00      0  27        0         0
#> 196.2 24.00      0  19        0         0
#> 198.1 24.00      0  66        0         1
#> 162   24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 9.2   24.00      0  31        1         0
#> 131.1 24.00      0  66        0         0
#> 143.1 24.00      0  51        0         0
#> 144.1 24.00      0  28        0         1
#> 67    24.00      0  25        0         0
#> 131.2 24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 46    24.00      0  71        0         0
#> 196.3 24.00      0  19        0         0
#> 116   24.00      0  58        0         1
#> 132.1 24.00      0  55        0         0
#> 31.1  24.00      0  36        0         1
#> 156.1 24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.37          NA        NA      NA
#> 2 age, Cure model           0.0239        NA        NA      NA
#> 3 grade_ii, Cure model      0.433         NA        NA      NA
#> 4 grade_iii, Cure model     0.741         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00263        NA        NA      NA
#> 2 grade_ii, Survival model   0.379          NA        NA      NA
#> 3 grade_iii, Survival model  0.0300         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.36770           0.02388           0.43340           0.74061  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 249.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.36769764       0.02387603       0.43339501       0.74061013 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002632963      0.379044155      0.029999809 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.462997105 0.711716781 0.403833053 0.482953966 0.218942899 0.004970795
#>   [7] 0.015396476 0.711716781 0.731165923 0.344620752 0.543680910 0.364162246
#>  [13] 0.740967153 0.971524113 0.266890967 0.692329337 0.942783695 0.165436832
#>  [19] 0.218942899 0.553880169 0.403833053 0.218942899 0.186590759 0.740967153
#>  [25] 0.384072141 0.885633597 0.056174417 0.503020079 0.971524113 0.165436832
#>  [31] 0.564093536 0.632982372 0.482953966 0.513173554 0.933147180 0.770265069
#>  [37] 0.325196402 0.847253825 0.564093536 0.662884999 0.067099729 0.885633597
#>  [43] 0.613238352 0.692329337 0.662884999 0.564093536 0.087744947 0.015396476
#>  [49] 0.266890967 0.033754220 0.961972511 0.197320664 0.256935630 0.403833053
#>  [55] 0.296633975 0.286588628 0.045329779 0.110256532 0.218942899 0.613238352
#>  [61] 0.789556634 0.442823740 0.808862876 0.971524113 0.808862876 0.098927086
#>  [67] 0.067099729 0.837593920 0.452950517 0.760483912 0.923516905 0.856929853
#>  [73] 0.642946232 0.885633597 0.403833053 0.208104583 0.513173554 0.770265069
#>  [79] 0.799232253 0.603198505 0.296633975 0.808862876 0.132051619 0.652932710
#>  [85] 0.374103320 0.325196402 0.876049262 0.384072141 0.856929853 0.952388958
#>  [91] 0.132051619 0.462997105 0.533427017 0.296633975 0.110256532 0.564093536
#>  [97] 0.154145678 0.682487962 0.885633597 0.344620752 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>   184   157    88   110    32    86   168 157.1    57    76   106    97    81 
#> 17.77 15.10 18.37 17.56 20.90 23.81 23.72 15.10 14.46 19.22 16.67 19.14 14.06 
#>    91    68    18   187   139  32.1   171  88.1  32.2   153  81.1     8    52 
#>  5.33 20.62 15.21  9.92 21.49 20.90 16.57 18.37 20.90 21.33 14.06 18.43 10.42 
#>    69   111  91.1 139.1   192   188 110.1    30    61   123   170    56 192.1 
#> 23.23 17.45  5.33 21.49 16.44 16.16 17.56 17.43 10.12 13.00 19.54 12.21 16.44 
#>   167   113  52.1    79  18.1 167.1 192.2    15 168.1  68.1   164    25    36 
#> 15.55 22.86 10.42 16.23 15.21 15.55 16.44 22.68 23.72 20.62 23.60  6.32 21.19 
#>   190  88.2   158   128   129   194  32.3  79.1   140    51   177  91.2 177.1 
#> 20.81 18.37 20.14 20.35 23.41 22.40 20.90 16.23 12.68 18.23 12.53  5.33 12.53 
#>   169 113.1    37    40    60    93    49   100  52.2  88.3    90  30.1 123.1 
#> 22.41 22.86 12.52 18.00 13.15 10.33 12.19 16.07 10.42 18.37 20.94 17.43 13.00 
#>   154     5 158.1 177.2   136   125   179 170.1   107   8.1  49.1   183 136.1 
#> 12.63 16.43 20.14 12.53 21.83 15.65 18.63 19.54 11.18 18.43 12.19  9.24 21.83 
#> 184.1    23 158.2 194.1    85   197    29  52.3  76.1   122    38    54   131 
#> 17.77 16.92 20.14 22.40 16.44 21.60 15.45 10.42 19.22 24.00 24.00 24.00 24.00 
#>    27    21   144     3   104    47   173    34  27.1   143   119   200   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1  38.1   142  21.1   112    35  34.1   193   185   156    19    94   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121  34.2   174 196.1  38.2    44   135   141  21.2    65     9   163   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   3.1    72  72.1    71   9.1  71.1 121.1  35.1 174.1 122.1   132   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.1   161  65.1   176    64   147  72.2 176.1   138   186   198     2    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.2 198.1   162    31   9.2 131.1 143.1 144.1    67 131.2    11    46 196.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116 132.1  31.1 156.1    95 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[21]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0147797                 0.8580765                 0.2906595 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.83386870              0.01486669              0.33647341 
#>   grade_iii, Cure model 
#>              0.65692735 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 8     18.43      1  32        0         0
#> 167   15.55      1  56        1         0
#> 129   23.41      1  53        1         0
#> 59    10.16      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 70     7.38      1  30        1         0
#> 136   21.83      1  43        0         1
#> 13    14.34      1  54        0         1
#> 123   13.00      1  44        1         0
#> 59.1  10.16      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 113   22.86      1  34        0         0
#> 154   12.63      1  20        1         0
#> 168   23.72      1  70        0         0
#> 92    22.92      1  47        0         1
#> 57.1  14.46      1  45        0         1
#> 88    18.37      1  47        0         0
#> 52    10.42      1  52        0         1
#> 114   13.68      1  NA        0         0
#> 43    12.10      1  61        0         1
#> 6     15.64      1  39        0         0
#> 192   16.44      1  31        1         0
#> 154.1 12.63      1  20        1         0
#> 63    22.77      1  31        1         0
#> 145   10.07      1  65        1         0
#> 10    10.53      1  34        0         0
#> 70.1   7.38      1  30        1         0
#> 150   20.33      1  48        0         0
#> 158   20.14      1  74        1         0
#> 50    10.02      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 164   23.60      1  76        0         1
#> 60    13.15      1  38        1         0
#> 77     7.27      1  67        0         1
#> 125   15.65      1  67        1         0
#> 190   20.81      1  42        1         0
#> 79    16.23      1  54        1         0
#> 154.2 12.63      1  20        1         0
#> 150.1 20.33      1  48        0         0
#> 70.2   7.38      1  30        1         0
#> 79.1  16.23      1  54        1         0
#> 155   13.08      1  26        0         0
#> 194   22.40      1  38        0         1
#> 149    8.37      1  33        1         0
#> 60.1  13.15      1  38        1         0
#> 180   14.82      1  37        0         0
#> 76    19.22      1  54        0         1
#> 140   12.68      1  59        1         0
#> 125.1 15.65      1  67        1         0
#> 49.1  12.19      1  48        1         0
#> 107   11.18      1  54        1         0
#> 136.1 21.83      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 50.1  10.02      1  NA        1         0
#> 57.2  14.46      1  45        0         1
#> 85    16.44      1  36        0         0
#> 195   11.76      1  NA        1         0
#> 43.1  12.10      1  61        0         1
#> 39    15.59      1  37        0         1
#> 117   17.46      1  26        0         1
#> 45    17.42      1  54        0         1
#> 45.1  17.42      1  54        0         1
#> 197   21.60      1  69        1         0
#> 23    16.92      1  61        0         0
#> 8.1   18.43      1  32        0         0
#> 24    23.89      1  38        0         0
#> 37    12.52      1  57        1         0
#> 117.1 17.46      1  26        0         1
#> 199   19.81      1  NA        0         1
#> 15    22.68      1  48        0         0
#> 181   16.46      1  45        0         1
#> 6.1   15.64      1  39        0         0
#> 51    18.23      1  83        0         1
#> 86    23.81      1  58        0         1
#> 100   16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 88.1  18.37      1  47        0         0
#> 197.1 21.60      1  69        1         0
#> 58    19.34      1  39        0         0
#> 159   10.55      1  50        0         1
#> 66    22.13      1  53        0         0
#> 26    15.77      1  49        0         1
#> 153   21.33      1  55        1         0
#> 86.1  23.81      1  58        0         1
#> 85.1  16.44      1  36        0         0
#> 15.1  22.68      1  48        0         0
#> 99    21.19      1  38        0         1
#> 124    9.73      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 18    15.21      1  49        1         0
#> 190.1 20.81      1  42        1         0
#> 169   22.41      1  46        0         0
#> 175   21.91      1  43        0         0
#> 199.1 19.81      1  NA        0         1
#> 50.2  10.02      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 32    20.90      1  37        1         0
#> 4     17.64      1  NA        0         1
#> 93    10.33      1  52        0         1
#> 18.1  15.21      1  49        1         0
#> 145.1 10.07      1  65        1         0
#> 30    17.43      1  78        0         0
#> 68    20.62      1  44        0         0
#> 183    9.24      1  67        1         0
#> 158.1 20.14      1  74        1         0
#> 55    19.34      1  69        0         1
#> 168.1 23.72      1  70        0         0
#> 81    14.06      1  34        0         0
#> 25     6.32      1  34        1         0
#> 189.1 10.51      1  NA        1         0
#> 66.1  22.13      1  53        0         0
#> 114.1 13.68      1  NA        0         0
#> 71    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 122   24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 132   24.00      0  55        0         0
#> 22    24.00      0  52        1         0
#> 196   24.00      0  19        0         0
#> 72    24.00      0  40        0         1
#> 75    24.00      0  21        1         0
#> 178   24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 98    24.00      0  34        1         0
#> 95    24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 12    24.00      0  63        0         0
#> 83.1  24.00      0   6        0         0
#> 142   24.00      0  53        0         0
#> 1.1   24.00      0  23        1         0
#> 73    24.00      0  NA        0         1
#> 104   24.00      0  50        1         0
#> 142.1 24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 62    24.00      0  71        0         0
#> 98.1  24.00      0  34        1         0
#> 35    24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 173   24.00      0  19        0         1
#> 138   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 182   24.00      0  35        0         0
#> 102   24.00      0  49        0         0
#> 152   24.00      0  36        0         1
#> 132.1 24.00      0  55        0         0
#> 156   24.00      0  50        1         0
#> 72.1  24.00      0  40        0         1
#> 122.1 24.00      0  66        0         0
#> 71.1  24.00      0  51        0         0
#> 142.2 24.00      0  53        0         0
#> 47    24.00      0  38        0         1
#> 118   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 115   24.00      0  NA        1         0
#> 146   24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 160   24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 104.1 24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 102.1 24.00      0  49        0         0
#> 33    24.00      0  53        0         0
#> 193   24.00      0  45        0         1
#> 74    24.00      0  43        0         1
#> 144   24.00      0  28        0         1
#> 162   24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 156.1 24.00      0  50        1         0
#> 178.1 24.00      0  52        1         0
#> 119   24.00      0  17        0         0
#> 46    24.00      0  71        0         0
#> 138.1 24.00      0  44        1         0
#> 11.1  24.00      0  42        0         1
#> 141   24.00      0  44        1         0
#> 115.1 24.00      0  NA        1         0
#> 143   24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 161   24.00      0  45        0         0
#> 87    24.00      0  27        0         0
#> 162.2 24.00      0  51        0         0
#> 138.2 24.00      0  44        1         0
#> 31.1  24.00      0  36        0         1
#> 22.1  24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 118.1 24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 120   24.00      0  68        0         1
#> 73.1  24.00      0  NA        0         1
#> 141.1 24.00      0  44        1         0
#> 141.2 24.00      0  44        1         0
#> 104.2 24.00      0  50        1         0
#> 109.1 24.00      0  48        0         0
#> 143.1 24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 64.1  24.00      0  43        0         0
#> 186   24.00      0  45        1         0
#> 47.1  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.834         NA        NA      NA
#> 2 age, Cure model           0.0149        NA        NA      NA
#> 3 grade_ii, Cure model      0.336         NA        NA      NA
#> 4 grade_iii, Cure model     0.657         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0148        NA        NA      NA
#> 2 grade_ii, Survival model    0.858         NA        NA      NA
#> 3 grade_iii, Survival model   0.291         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.83387           0.01487           0.33647           0.65693  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    251.2 
#> Residual Deviance: 246.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.83386870       0.01486669       0.33647341       0.65692735 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0147797        0.8580765        0.2906595 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.2567609023 0.5402262153 0.0177148496 0.1388337835 0.9386719686
#>   [6] 0.0883941518 0.6393827289 0.7031267601 0.6020219252 0.0284038672
#>  [11] 0.7286347626 0.0054510781 0.0228500337 0.6020219252 0.2769906429
#>  [16] 0.8630684178 0.8012799001 0.5033944065 0.3979397907 0.7286347626
#>  [21] 0.0344252241 0.8882500250 0.8505810262 0.9386719686 0.1819058629
#>  [26] 0.1997597530 0.7770822272 0.0124738708 0.6650940796 0.9752270842
#>  [31] 0.4794880722 0.1565992508 0.4323534059 0.7286347626 0.1819058629
#>  [36] 0.9386719686 0.4323534059 0.6903207051 0.0586114090 0.9260697549
#>  [41] 0.6650940796 0.5895486221 0.2369087183 0.7158791872 0.4794880722
#>  [46] 0.7770822272 0.8258163305 0.0883941518 0.6020219252 0.3979397907
#>  [51] 0.8012799001 0.5278088043 0.3197299780 0.3522245911 0.3522245911
#>  [56] 0.1047115988 0.3746451452 0.2567609023 0.0002921234 0.7648260914
#>  [61] 0.3197299780 0.0399729324 0.3862376117 0.5033944065 0.2979886707
#>  [66] 0.0016869922 0.4555347087 0.2467424713 0.2769906429 0.1047115988
#>  [71] 0.2179559131 0.8381656316 0.0655432813 0.4674574116 0.1214225229
#>  [76] 0.0016869922 0.3979397907 0.0399729324 0.1300589173 0.3089178042
#>  [81] 0.5650816502 0.1565992508 0.0518694886 0.0802827232 0.5526348316
#>  [86] 0.1478138407 0.8756248304 0.5650816502 0.8882500250 0.3411162489
#>  [91] 0.1731946482 0.9133902034 0.1997597530 0.2179559131 0.0054510781
#>  [96] 0.6521883562 0.9876467054 0.0655432813 0.0000000000 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000
#> 
#> $Time
#>     8   167   129    90    70   136    13   123    57   113   154   168    92 
#> 18.43 15.55 23.41 20.94  7.38 21.83 14.34 13.00 14.46 22.86 12.63 23.72 22.92 
#>  57.1    88    52    43     6   192 154.1    63   145    10  70.1   150   158 
#> 14.46 18.37 10.42 12.10 15.64 16.44 12.63 22.77 10.07 10.53  7.38 20.33 20.14 
#>    49   164    60    77   125   190    79 154.2 150.1  70.2  79.1   155   194 
#> 12.19 23.60 13.15  7.27 15.65 20.81 16.23 12.63 20.33  7.38 16.23 13.08 22.40 
#>   149  60.1   180    76   140 125.1  49.1   107 136.1  57.2    85  43.1    39 
#>  8.37 13.15 14.82 19.22 12.68 15.65 12.19 11.18 21.83 14.46 16.44 12.10 15.59 
#>   117    45  45.1   197    23   8.1    24    37 117.1    15   181   6.1    51 
#> 17.46 17.42 17.42 21.60 16.92 18.43 23.89 12.52 17.46 22.68 16.46 15.64 18.23 
#>    86   100   179  88.1 197.1    58   159    66    26   153  86.1  85.1  15.1 
#> 23.81 16.07 18.63 18.37 21.60 19.34 10.55 22.13 15.77 21.33 23.81 16.44 22.68 
#>    99    41    18 190.1   169   175    29    32    93  18.1 145.1    30    68 
#> 21.19 18.02 15.21 20.81 22.41 21.91 15.45 20.90 10.33 15.21 10.07 17.43 20.62 
#>   183 158.1    55 168.1    81    25  66.1    71    31   122   135   132    22 
#>  9.24 20.14 19.34 23.72 14.06  6.32 22.13 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    72    75   178    65     1    98    95    83    12  83.1   142   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104 142.1    28    62  98.1    35    19   173   138   191   182   102   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1   156  72.1 122.1  71.1 142.2    47   118   151   146   185    11   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1 104.1   121 102.1    33   193    74   144   162 162.1 156.1 178.1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46 138.1  11.1   141   143     2   161    87 162.2 138.2  31.1  22.1   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165 118.1    64   120 141.1 141.2 104.2 109.1 143.1   148  64.1   186  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[22]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001579847               0.784984794               0.202945187 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.09615188              0.01643662              0.43223502 
#>   grade_iii, Cure model 
#>              1.19902372 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 13    14.34      1  54        0         1
#> 79    16.23      1  54        1         0
#> 16     8.71      1  71        0         1
#> 76    19.22      1  54        0         1
#> 179   18.63      1  42        0         0
#> 108   18.29      1  39        0         1
#> 81    14.06      1  34        0         0
#> 171   16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 58    19.34      1  39        0         0
#> 89    11.44      1  NA        0         0
#> 167   15.55      1  56        1         0
#> 93.1  10.33      1  52        0         1
#> 86    23.81      1  58        0         1
#> 91     5.33      1  61        0         1
#> 37    12.52      1  57        1         0
#> 124    9.73      1  NA        1         0
#> 58.1  19.34      1  39        0         0
#> 197   21.60      1  69        1         0
#> 199   19.81      1  NA        0         1
#> 113   22.86      1  34        0         0
#> 194   22.40      1  38        0         1
#> 49    12.19      1  48        1         0
#> 10    10.53      1  34        0         0
#> 175   21.91      1  43        0         0
#> 60    13.15      1  38        1         0
#> 106   16.67      1  49        1         0
#> 85    16.44      1  36        0         0
#> 188   16.16      1  46        0         1
#> 123   13.00      1  44        1         0
#> 106.1 16.67      1  49        1         0
#> 69    23.23      1  25        0         1
#> 26    15.77      1  49        0         1
#> 56    12.21      1  60        0         0
#> 40    18.00      1  28        1         0
#> 36    21.19      1  48        0         1
#> 36.1  21.19      1  48        0         1
#> 175.1 21.91      1  43        0         0
#> 175.2 21.91      1  43        0         0
#> 166   19.98      1  48        0         0
#> 45    17.42      1  54        0         1
#> 114   13.68      1  NA        0         0
#> 153   21.33      1  55        1         0
#> 61    10.12      1  36        0         1
#> 29    15.45      1  68        1         0
#> 91.1   5.33      1  61        0         1
#> 177   12.53      1  75        0         0
#> 42    12.43      1  49        0         1
#> 164   23.60      1  76        0         1
#> 39    15.59      1  37        0         1
#> 55    19.34      1  69        0         1
#> 183    9.24      1  67        1         0
#> 158   20.14      1  74        1         0
#> 97    19.14      1  65        0         1
#> 183.1  9.24      1  67        1         0
#> 10.1  10.53      1  34        0         0
#> 134   17.81      1  47        1         0
#> 92    22.92      1  47        0         1
#> 157   15.10      1  47        0         0
#> 123.1 13.00      1  44        1         0
#> 114.1 13.68      1  NA        0         0
#> 6     15.64      1  39        0         0
#> 49.1  12.19      1  48        1         0
#> 10.2  10.53      1  34        0         0
#> 175.3 21.91      1  43        0         0
#> 13.1  14.34      1  54        0         1
#> 114.2 13.68      1  NA        0         0
#> 40.1  18.00      1  28        1         0
#> 194.1 22.40      1  38        0         1
#> 188.1 16.16      1  46        0         1
#> 177.1 12.53      1  75        0         0
#> 128   20.35      1  35        0         1
#> 43    12.10      1  61        0         1
#> 127    3.53      1  62        0         1
#> 128.1 20.35      1  35        0         1
#> 16.1   8.71      1  71        0         1
#> 171.1 16.57      1  41        0         1
#> 90    20.94      1  50        0         1
#> 61.1  10.12      1  36        0         1
#> 167.1 15.55      1  56        1         0
#> 25     6.32      1  34        1         0
#> 180   14.82      1  37        0         0
#> 43.1  12.10      1  61        0         1
#> 159   10.55      1  50        0         1
#> 114.3 13.68      1  NA        0         0
#> 123.2 13.00      1  44        1         0
#> 37.1  12.52      1  57        1         0
#> 23    16.92      1  61        0         0
#> 187    9.92      1  39        1         0
#> 29.1  15.45      1  68        1         0
#> 61.2  10.12      1  36        0         1
#> 85.1  16.44      1  36        0         0
#> 51    18.23      1  83        0         1
#> 8     18.43      1  32        0         0
#> 107   11.18      1  54        1         0
#> 15    22.68      1  48        0         0
#> 169   22.41      1  46        0         0
#> 167.2 15.55      1  56        1         0
#> 26.1  15.77      1  49        0         1
#> 150   20.33      1  48        0         0
#> 133   14.65      1  57        0         0
#> 69.1  23.23      1  25        0         1
#> 168   23.72      1  70        0         0
#> 70     7.38      1  30        1         0
#> 16.2   8.71      1  71        0         1
#> 57    14.46      1  45        0         1
#> 93.2  10.33      1  52        0         1
#> 49.2  12.19      1  48        1         0
#> 101    9.97      1  10        0         1
#> 101.1  9.97      1  10        0         1
#> 171.2 16.57      1  41        0         1
#> 183.2  9.24      1  67        1         0
#> 162   24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 118   24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 143   24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 143.1 24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 151   24.00      0  42        0         0
#> 151.1 24.00      0  42        0         0
#> 178   24.00      0  52        1         0
#> 11    24.00      0  42        0         1
#> 165   24.00      0  47        0         0
#> 138   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 163   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 132   24.00      0  55        0         0
#> 193   24.00      0  45        0         1
#> 142.1 24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 44    24.00      0  56        0         0
#> 98    24.00      0  34        1         0
#> 163.1 24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 176   24.00      0  43        0         1
#> 102   24.00      0  49        0         0
#> 84    24.00      0  39        0         1
#> 151.2 24.00      0  42        0         0
#> 87    24.00      0  27        0         0
#> 20    24.00      0  46        1         0
#> 165.1 24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 47    24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 115   24.00      0  NA        1         0
#> 47.1  24.00      0  38        0         1
#> 80    24.00      0  41        0         0
#> 46    24.00      0  71        0         0
#> 141   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 104   24.00      0  50        1         0
#> 200.1 24.00      0  64        0         0
#> 196   24.00      0  19        0         0
#> 141.1 24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 200.2 24.00      0  64        0         0
#> 71    24.00      0  51        0         0
#> 87.1  24.00      0  27        0         0
#> 118.1 24.00      0  44        1         0
#> 196.1 24.00      0  19        0         0
#> 73.1  24.00      0  NA        0         1
#> 144   24.00      0  28        0         1
#> 196.2 24.00      0  19        0         0
#> 193.1 24.00      0  45        0         1
#> 21    24.00      0  47        0         0
#> 144.1 24.00      0  28        0         1
#> 147.1 24.00      0  76        1         0
#> 19    24.00      0  57        0         1
#> 193.2 24.00      0  45        0         1
#> 147.2 24.00      0  76        1         0
#> 74.1  24.00      0  43        0         1
#> 31    24.00      0  36        0         1
#> 156.1 24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 2     24.00      0   9        0         0
#> 20.1  24.00      0  46        1         0
#> 200.3 24.00      0  64        0         0
#> 165.2 24.00      0  47        0         0
#> 67.1  24.00      0  25        0         0
#> 2.1   24.00      0   9        0         0
#> 94    24.00      0  51        0         1
#> 132.1 24.00      0  55        0         0
#> 193.3 24.00      0  45        0         1
#> 1     24.00      0  23        1         0
#> 137   24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 146.1 24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 82    24.00      0  34        0         0
#> 144.2 24.00      0  28        0         1
#> 137.1 24.00      0  45        1         0
#> 162.2 24.00      0  51        0         0
#> 84.1  24.00      0  39        0         1
#> 72.1  24.00      0  40        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.10          NA        NA      NA
#> 2 age, Cure model           0.0164        NA        NA      NA
#> 3 grade_ii, Cure model      0.432         NA        NA      NA
#> 4 grade_iii, Cure model     1.20          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00158        NA        NA      NA
#> 2 grade_ii, Survival model   0.785          NA        NA      NA
#> 3 grade_iii, Survival model  0.203          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.09615           0.01644           0.43224           1.19902  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.3 
#> Residual Deviance: 247.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.09615188       0.01643662       0.43223502       1.19902372 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001579847      0.784984794      0.202945187 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.67258765 0.53167991 0.94278265 0.35192327 0.37351366 0.39512526
#>   [7] 0.68946281 0.48529279 0.85386950 0.32035600 0.59572781 0.85386950
#>  [13] 0.01014272 0.97869207 0.74644051 0.32035600 0.20773725 0.09455419
#>  [19] 0.13514377 0.77805555 0.83130038 0.16032843 0.69795813 0.46648037
#>  [25] 0.51300026 0.54093703 0.70634477 0.46648037 0.05630644 0.55920667
#>  [31] 0.77013115 0.41664120 0.23164909 0.23164909 0.16032843 0.16032843
#>  [37] 0.30947637 0.44666252 0.22002082 0.87636233 0.62158944 0.97869207
#>  [43] 0.73032515 0.76221413 0.04077920 0.58657347 0.32035600 0.92115030
#>  [49] 0.29862464 0.36273539 0.92115030 0.83130038 0.43673603 0.08124526
#>  [55] 0.63849480 0.70634477 0.57739687 0.77805555 0.83130038 0.16032843
#>  [61] 0.67258765 0.41664120 0.13514377 0.54093703 0.73032515 0.26540628
#>  [67] 0.80087510 0.99288410 0.26540628 0.94278265 0.48529279 0.25402699
#>  [73] 0.87636233 0.59572781 0.97155847 0.64701231 0.80087510 0.82371908
#>  [79] 0.70634477 0.74644051 0.45656156 0.91371114 0.62158944 0.87636233
#>  [85] 0.51300026 0.40589383 0.38431196 0.81612857 0.10796484 0.12150029
#>  [91] 0.59572781 0.55920667 0.28738478 0.65553620 0.05630644 0.02481415
#>  [97] 0.96436797 0.94278265 0.66406963 0.85386950 0.77805555 0.89876476
#> [103] 0.89876476 0.48529279 0.92115030 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    13    79    16    76   179   108    81   171    93    58   167  93.1    86 
#> 14.34 16.23  8.71 19.22 18.63 18.29 14.06 16.57 10.33 19.34 15.55 10.33 23.81 
#>    91    37  58.1   197   113   194    49    10   175    60   106    85   188 
#>  5.33 12.52 19.34 21.60 22.86 22.40 12.19 10.53 21.91 13.15 16.67 16.44 16.16 
#>   123 106.1    69    26    56    40    36  36.1 175.1 175.2   166    45   153 
#> 13.00 16.67 23.23 15.77 12.21 18.00 21.19 21.19 21.91 21.91 19.98 17.42 21.33 
#>    61    29  91.1   177    42   164    39    55   183   158    97 183.1  10.1 
#> 10.12 15.45  5.33 12.53 12.43 23.60 15.59 19.34  9.24 20.14 19.14  9.24 10.53 
#>   134    92   157 123.1     6  49.1  10.2 175.3  13.1  40.1 194.1 188.1 177.1 
#> 17.81 22.92 15.10 13.00 15.64 12.19 10.53 21.91 14.34 18.00 22.40 16.16 12.53 
#>   128    43   127 128.1  16.1 171.1    90  61.1 167.1    25   180  43.1   159 
#> 20.35 12.10  3.53 20.35  8.71 16.57 20.94 10.12 15.55  6.32 14.82 12.10 10.55 
#> 123.2  37.1    23   187  29.1  61.2  85.1    51     8   107    15   169 167.2 
#> 13.00 12.52 16.92  9.92 15.45 10.12 16.44 18.23 18.43 11.18 22.68 22.41 15.55 
#>  26.1   150   133  69.1   168    70  16.2    57  93.2  49.2   101 101.1 171.2 
#> 15.77 20.33 14.65 23.23 23.72  7.38  8.71 14.46 10.33 12.19  9.97  9.97 16.57 
#> 183.2   162    72   118 162.1   172   143   142 143.1    74   156   151 151.1 
#>  9.24 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    11   165   138    22    65   163   146   132   193 142.1   200    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98 163.1   121   176   102    84 151.2    87    20 165.1   109    47   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1    80    46   141   147   104 200.1   196 141.1 200.2    71  87.1 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1   144 196.2 193.1    21 144.1 147.1    19 193.2 147.2  74.1    31 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67     2  20.1 200.3 165.2  67.1   2.1    94 132.1 193.3     1   137   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.1   119    82 144.2 137.1 162.2  84.1  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[23]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01327016                0.49229325                0.42597078 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.384474746             0.001500437            -0.725978983 
#>   grade_iii, Cure model 
#>             0.048846167 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 110   17.56      1  65        0         1
#> 36    21.19      1  48        0         1
#> 134   17.81      1  47        1         0
#> 32    20.90      1  37        1         0
#> 76    19.22      1  54        0         1
#> 157   15.10      1  47        0         0
#> 79    16.23      1  54        1         0
#> 179   18.63      1  42        0         0
#> 66    22.13      1  53        0         0
#> 140   12.68      1  59        1         0
#> 168   23.72      1  70        0         0
#> 60    13.15      1  38        1         0
#> 39    15.59      1  37        0         1
#> 41    18.02      1  40        1         0
#> 69    23.23      1  25        0         1
#> 140.1 12.68      1  59        1         0
#> 30    17.43      1  78        0         0
#> 195   11.76      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 40    18.00      1  28        1         0
#> 184   17.77      1  38        0         0
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 15    22.68      1  48        0         0
#> 99    21.19      1  38        0         1
#> 159   10.55      1  50        0         1
#> 42    12.43      1  49        0         1
#> 129   23.41      1  53        1         0
#> 26.1  15.77      1  49        0         1
#> 24    23.89      1  38        0         0
#> 117   17.46      1  26        0         1
#> 101    9.97      1  10        0         1
#> 183    9.24      1  67        1         0
#> 91     5.33      1  61        0         1
#> 105   19.75      1  60        0         0
#> 15.1  22.68      1  48        0         0
#> 134.1 17.81      1  47        1         0
#> 81    14.06      1  34        0         0
#> 184.1 17.77      1  38        0         0
#> 140.2 12.68      1  59        1         0
#> 36.1  21.19      1  48        0         1
#> 157.1 15.10      1  47        0         0
#> 26.2  15.77      1  49        0         1
#> 37    12.52      1  57        1         0
#> 89    11.44      1  NA        0         0
#> 136   21.83      1  43        0         1
#> 8     18.43      1  32        0         0
#> 194   22.40      1  38        0         1
#> 166   19.98      1  48        0         0
#> 26.3  15.77      1  49        0         1
#> 194.1 22.40      1  38        0         1
#> 13    14.34      1  54        0         1
#> 188   16.16      1  46        0         1
#> 66.1  22.13      1  53        0         0
#> 6     15.64      1  39        0         0
#> 76.1  19.22      1  54        0         1
#> 59    10.16      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 68    20.62      1  44        0         0
#> 180   14.82      1  37        0         0
#> 166.1 19.98      1  48        0         0
#> 25     6.32      1  34        1         0
#> 187    9.92      1  39        1         0
#> 89.1  11.44      1  NA        0         0
#> 133   14.65      1  57        0         0
#> 30.1  17.43      1  78        0         0
#> 14    12.89      1  21        0         0
#> 15.2  22.68      1  48        0         0
#> 25.1   6.32      1  34        1         0
#> 127    3.53      1  62        0         1
#> 70     7.38      1  30        1         0
#> 26.4  15.77      1  49        0         1
#> 91.1   5.33      1  61        0         1
#> 51    18.23      1  83        0         1
#> 179.1 18.63      1  42        0         0
#> 166.2 19.98      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 106   16.67      1  49        1         0
#> 166.3 19.98      1  48        0         0
#> 39.1  15.59      1  37        0         1
#> 85    16.44      1  36        0         0
#> 96    14.54      1  33        0         1
#> 92    22.92      1  47        0         1
#> 39.2  15.59      1  37        0         1
#> 166.4 19.98      1  48        0         0
#> 153   21.33      1  55        1         0
#> 40.1  18.00      1  28        1         0
#> 55    19.34      1  69        0         1
#> 70.1   7.38      1  30        1         0
#> 55.1  19.34      1  69        0         1
#> 134.2 17.81      1  47        1         0
#> 90    20.94      1  50        0         1
#> 181   16.46      1  45        0         1
#> 180.1 14.82      1  37        0         0
#> 105.1 19.75      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 145   10.07      1  65        1         0
#> 6.1   15.64      1  39        0         0
#> 129.1 23.41      1  53        1         0
#> 129.2 23.41      1  53        1         0
#> 89.2  11.44      1  NA        0         0
#> 189   10.51      1  NA        1         0
#> 15.3  22.68      1  48        0         0
#> 10    10.53      1  34        0         0
#> 175   21.91      1  43        0         0
#> 168.1 23.72      1  70        0         0
#> 180.2 14.82      1  37        0         0
#> 40.2  18.00      1  28        1         0
#> 181.1 16.46      1  45        0         1
#> 168.2 23.72      1  70        0         0
#> 81.1  14.06      1  34        0         0
#> 15.4  22.68      1  48        0         0
#> 115   24.00      0  NA        1         0
#> 156   24.00      0  50        1         0
#> 109   24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 109.1 24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 162   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 53    24.00      0  32        0         1
#> 17    24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 176   24.00      0  43        0         1
#> 178   24.00      0  52        1         0
#> 74    24.00      0  43        0         1
#> 31.1  24.00      0  36        0         1
#> 22    24.00      0  52        1         0
#> 137   24.00      0  45        1         0
#> 109.2 24.00      0  48        0         0
#> 156.1 24.00      0  50        1         0
#> 116   24.00      0  58        0         1
#> 152   24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 126.1 24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 174   24.00      0  49        1         0
#> 31.2  24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 132   24.00      0  55        0         0
#> 142   24.00      0  53        0         0
#> 72    24.00      0  40        0         1
#> 152.1 24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 104   24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 80    24.00      0  41        0         0
#> 137.1 24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 115.1 24.00      0  NA        1         0
#> 104.1 24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 121   24.00      0  57        1         0
#> 73.1  24.00      0  NA        0         1
#> 144.1 24.00      0  28        0         1
#> 138   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 17.1  24.00      0  38        0         1
#> 71.1  24.00      0  51        0         0
#> 178.1 24.00      0  52        1         0
#> 162.1 24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 44    24.00      0  56        0         0
#> 148   24.00      0  61        1         0
#> 152.2 24.00      0  36        0         1
#> 121.1 24.00      0  57        1         0
#> 75    24.00      0  21        1         0
#> 137.2 24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 152.3 24.00      0  36        0         1
#> 131   24.00      0  66        0         0
#> 142.1 24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 20.1  24.00      0  46        1         0
#> 121.2 24.00      0  57        1         0
#> 132.1 24.00      0  55        0         0
#> 146   24.00      0  63        1         0
#> 147   24.00      0  76        1         0
#> 65    24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 193   24.00      0  45        0         1
#> 19    24.00      0  57        0         1
#> 71.2  24.00      0  51        0         0
#> 115.2 24.00      0  NA        1         0
#> 146.1 24.00      0  63        1         0
#> 178.2 24.00      0  52        1         0
#> 20.2  24.00      0  46        1         0
#> 142.2 24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 20.3  24.00      0  46        1         0
#> 151   24.00      0  42        0         0
#> 65.1  24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 103.1 24.00      0  56        1         0
#> 21    24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.384          NA        NA      NA
#> 2 age, Cure model          0.00150        NA        NA      NA
#> 3 grade_ii, Cure model    -0.726          NA        NA      NA
#> 4 grade_iii, Cure model    0.0488         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0133        NA        NA      NA
#> 2 grade_ii, Survival model    0.492         NA        NA      NA
#> 3 grade_iii, Survival model   0.426         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.38447           0.00150          -0.72598           0.04885  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 252.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.384474746      0.001500437     -0.725978983      0.048846167 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01327016       0.49229325       0.42597078 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3856032894 0.1028450204 0.3356674545 0.1309155695 0.2195810678
#>   [6] 0.6037924867 0.4710185514 0.2566694441 0.0687307380 0.7595591581
#>  [11] 0.0020823602 0.7227494047 0.5699542751 0.2962614635 0.0226853854
#>  [16] 0.7595591581 0.4064602815 0.4931292952 0.3064542254 0.3651985988
#>  [21] 0.2378693507 0.2378693507 0.0322245863 0.1028450204 0.8216737598
#>  [26] 0.8090745717 0.0111396465 0.4931292952 0.0003976163 0.3960433530
#>  [31] 0.8597934230 0.8852082243 0.9614523868 0.1843542446 0.0322245863
#>  [36] 0.3356674545 0.6984180195 0.3651985988 0.7595591581 0.1028450204
#>  [41] 0.6037924867 0.4931292952 0.7965146799 0.0886195763 0.2760773058
#>  [46] 0.0569443594 0.1459054779 0.4931292952 0.0569443594 0.6862991917
#>  [51] 0.4820525649 0.0687307380 0.5472522500 0.2195810678 0.9232654456
#>  [56] 0.1383207015 0.6269732323 0.1459054779 0.9360623714 0.8724985154
#>  [61] 0.6621715736 0.4064602815 0.7350217320 0.0322245863 0.9360623714
#>  [66] 0.9870578179 0.8979779880 0.4931292952 0.9614523868 0.2860819665
#>  [71] 0.2566694441 0.1459054779 0.4277209210 0.1459054779 0.5699542751
#>  [76] 0.4600362382 0.6742340983 0.0273796034 0.5699542751 0.1459054779
#>  [81] 0.0956763002 0.3064542254 0.2016696450 0.8979779880 0.2016696450
#>  [86] 0.3356674545 0.1235100056 0.4385264783 0.6269732323 0.1843542446
#>  [91] 0.7350217320 0.8470240283 0.5472522500 0.0111396465 0.0111396465
#>  [96] 0.0322245863 0.8343139305 0.0816379738 0.0020823602 0.6269732323
#> [101] 0.3064542254 0.4385264783 0.0020823602 0.6984180195 0.0322245863
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   110    36   134    32    76   157    79   179    66   140   168    60    39 
#> 17.56 21.19 17.81 20.90 19.22 15.10 16.23 18.63 22.13 12.68 23.72 13.15 15.59 
#>    41    69 140.1    30    26    40   184    97  97.1    15    99   159    42 
#> 18.02 23.23 12.68 17.43 15.77 18.00 17.77 19.14 19.14 22.68 21.19 10.55 12.43 
#>   129  26.1    24   117   101   183    91   105  15.1 134.1    81 184.1 140.2 
#> 23.41 15.77 23.89 17.46  9.97  9.24  5.33 19.75 22.68 17.81 14.06 17.77 12.68 
#>  36.1 157.1  26.2    37   136     8   194   166  26.3 194.1    13   188  66.1 
#> 21.19 15.10 15.77 12.52 21.83 18.43 22.40 19.98 15.77 22.40 14.34 16.16 22.13 
#>     6  76.1    77    68   180 166.1    25   187   133  30.1    14  15.2  25.1 
#> 15.64 19.22  7.27 20.62 14.82 19.98  6.32  9.92 14.65 17.43 12.89 22.68  6.32 
#>   127    70  26.4  91.1    51 179.1 166.2   106 166.3  39.1    85    96    92 
#>  3.53  7.38 15.77  5.33 18.23 18.63 19.98 16.67 19.98 15.59 16.44 14.54 22.92 
#>  39.2 166.4   153  40.1    55  70.1  55.1 134.2    90   181 180.1 105.1  14.1 
#> 15.59 19.98 21.33 18.00 19.34  7.38 19.34 17.81 20.94 16.46 14.82 19.75 12.89 
#>   145   6.1 129.1 129.2  15.3    10   175 168.1 180.2  40.2 181.1 168.2  81.1 
#> 10.07 15.64 23.41 23.41 22.68 10.53 21.91 23.72 14.82 18.00 16.46 23.72 14.06 
#>  15.4   156   109 109.1    31   162   126   165    47   112    53    17   103 
#> 22.68 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   178    74  31.1    22   137 109.2 156.1   116   152    71 126.1   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174  31.2    33   132   142    72 152.1    82   104    95   144    80 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135 104.1    28   121 144.1   138    38    20  17.1  71.1 178.1 162.1     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   148 152.2 121.1    75 137.2   118 152.3   131 142.1    84  20.1 121.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1   146   147    65   173   193    19  71.2 146.1 178.2  20.2 142.2   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.3   151  65.1   119 103.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[24]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008053431               0.317732265               0.297767616 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.172067643             0.004890612            -0.305650182 
#>   grade_iii, Cure model 
#>             0.927961380 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 60    13.15      1  38        1         0
#> 183    9.24      1  67        1         0
#> 68    20.62      1  44        0         0
#> 113   22.86      1  34        0         0
#> 133   14.65      1  57        0         0
#> 88    18.37      1  47        0         0
#> 4     17.64      1  NA        0         1
#> 133.1 14.65      1  57        0         0
#> 37    12.52      1  57        1         0
#> 57    14.46      1  45        0         1
#> 29    15.45      1  68        1         0
#> 171   16.57      1  41        0         1
#> 18    15.21      1  49        1         0
#> 13    14.34      1  54        0         1
#> 58    19.34      1  39        0         0
#> 52    10.42      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 114   13.68      1  NA        0         0
#> 4.1   17.64      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 155   13.08      1  26        0         0
#> 23    16.92      1  61        0         0
#> 136   21.83      1  43        0         1
#> 175   21.91      1  43        0         0
#> 108   18.29      1  39        0         1
#> 149    8.37      1  33        1         0
#> 59    10.16      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 166   19.98      1  48        0         0
#> 61    10.12      1  36        0         1
#> 63    22.77      1  31        1         0
#> 56    12.21      1  60        0         0
#> 101    9.97      1  10        0         1
#> 100   16.07      1  60        0         0
#> 197   21.60      1  69        1         0
#> 129   23.41      1  53        1         0
#> 88.1  18.37      1  47        0         0
#> 25     6.32      1  34        1         0
#> 139   21.49      1  63        1         0
#> 158   20.14      1  74        1         0
#> 56.1  12.21      1  60        0         0
#> 175.1 21.91      1  43        0         0
#> 149.1  8.37      1  33        1         0
#> 58.1  19.34      1  39        0         0
#> 166.1 19.98      1  48        0         0
#> 51    18.23      1  83        0         1
#> 155.1 13.08      1  26        0         0
#> 23.1  16.92      1  61        0         0
#> 61.1  10.12      1  36        0         1
#> 155.2 13.08      1  26        0         0
#> 88.2  18.37      1  47        0         0
#> 81    14.06      1  34        0         0
#> 45    17.42      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 101.1  9.97      1  10        0         1
#> 125   15.65      1  67        1         0
#> 111   17.45      1  47        0         1
#> 154   12.63      1  20        1         0
#> 199.1 19.81      1  NA        0         1
#> 106   16.67      1  49        1         0
#> 49.1  12.19      1  48        1         0
#> 55    19.34      1  69        0         1
#> 145   10.07      1  65        1         0
#> 59.2  10.16      1  NA        1         0
#> 55.1  19.34      1  69        0         1
#> 183.1  9.24      1  67        1         0
#> 49.2  12.19      1  48        1         0
#> 189   10.51      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 157   15.10      1  47        0         0
#> 167   15.55      1  56        1         0
#> 85    16.44      1  36        0         0
#> 150   20.33      1  48        0         0
#> 45.1  17.42      1  54        0         1
#> 58.2  19.34      1  39        0         0
#> 114.1 13.68      1  NA        0         0
#> 101.2  9.97      1  10        0         1
#> 70     7.38      1  30        1         0
#> 183.2  9.24      1  67        1         0
#> 43    12.10      1  61        0         1
#> 97    19.14      1  65        0         1
#> 133.2 14.65      1  57        0         0
#> 81.1  14.06      1  34        0         0
#> 70.1   7.38      1  30        1         0
#> 85.1  16.44      1  36        0         0
#> 139.1 21.49      1  63        1         0
#> 30    17.43      1  78        0         0
#> 111.1 17.45      1  47        0         1
#> 101.3  9.97      1  10        0         1
#> 45.2  17.42      1  54        0         1
#> 108.1 18.29      1  39        0         1
#> 154.1 12.63      1  20        1         0
#> 177   12.53      1  75        0         0
#> 66    22.13      1  53        0         0
#> 130   16.47      1  53        0         1
#> 77     7.27      1  67        0         1
#> 159   10.55      1  50        0         1
#> 52.1  10.42      1  52        0         1
#> 41    18.02      1  40        1         0
#> 57.1  14.46      1  45        0         1
#> 93    10.33      1  52        0         1
#> 129.1 23.41      1  53        1         0
#> 81.2  14.06      1  34        0         0
#> 91     5.33      1  61        0         1
#> 188   16.16      1  46        0         1
#> 92    22.92      1  47        0         1
#> 171.1 16.57      1  41        0         1
#> 99    21.19      1  38        0         1
#> 171.2 16.57      1  41        0         1
#> 175.2 21.91      1  43        0         0
#> 145.1 10.07      1  65        1         0
#> 173   24.00      0  19        0         1
#> 126   24.00      0  48        0         0
#> 138   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 142   24.00      0  53        0         0
#> 121   24.00      0  57        1         0
#> 143   24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 72    24.00      0  40        0         1
#> 71    24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 87    24.00      0  27        0         0
#> 178   24.00      0  52        1         0
#> 173.1 24.00      0  19        0         1
#> 102   24.00      0  49        0         0
#> 9     24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 7     24.00      0  37        1         0
#> 74    24.00      0  43        0         1
#> 147   24.00      0  76        1         0
#> 109   24.00      0  48        0         0
#> 109.1 24.00      0  48        0         0
#> 22    24.00      0  52        1         0
#> 1.1   24.00      0  23        1         0
#> 82    24.00      0  34        0         0
#> 27    24.00      0  63        1         0
#> 115   24.00      0  NA        1         0
#> 19    24.00      0  57        0         1
#> 73.1  24.00      0  NA        0         1
#> 54    24.00      0  53        1         0
#> 121.1 24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 20    24.00      0  46        1         0
#> 147.1 24.00      0  76        1         0
#> 121.2 24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 200.1 24.00      0  64        0         0
#> 7.1   24.00      0  37        1         0
#> 44    24.00      0  56        0         0
#> 137   24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 122   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 115.1 24.00      0  NA        1         0
#> 22.1  24.00      0  52        1         0
#> 174   24.00      0  49        1         0
#> 20.1  24.00      0  46        1         0
#> 94    24.00      0  51        0         1
#> 186   24.00      0  45        1         0
#> 11    24.00      0  42        0         1
#> 75    24.00      0  21        1         0
#> 162   24.00      0  51        0         0
#> 138.1 24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 142.1 24.00      0  53        0         0
#> 151   24.00      0  42        0         0
#> 17    24.00      0  38        0         1
#> 9.1   24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 137.1 24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 156   24.00      0  50        1         0
#> 132   24.00      0  55        0         0
#> 193   24.00      0  45        0         1
#> 147.2 24.00      0  76        1         0
#> 132.1 24.00      0  55        0         0
#> 142.2 24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 138.2 24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 83.1  24.00      0   6        0         0
#> 109.2 24.00      0  48        0         0
#> 146.1 24.00      0  63        1         0
#> 87.1  24.00      0  27        0         0
#> 132.2 24.00      0  55        0         0
#> 11.1  24.00      0  42        0         1
#> 22.2  24.00      0  52        1         0
#> 174.1 24.00      0  49        1         0
#> 28    24.00      0  67        1         0
#> 131   24.00      0  66        0         0
#> 33.1  24.00      0  53        0         0
#> 80    24.00      0  41        0         0
#> 142.3 24.00      0  53        0         0
#> 46.1  24.00      0  71        0         0
#> 75.1  24.00      0  21        1         0
#> 38    24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 53    24.00      0  32        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.172          NA        NA      NA
#> 2 age, Cure model          0.00489        NA        NA      NA
#> 3 grade_ii, Cure model    -0.306          NA        NA      NA
#> 4 grade_iii, Cure model    0.928          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00805        NA        NA      NA
#> 2 grade_ii, Survival model   0.318          NA        NA      NA
#> 3 grade_iii, Survival model  0.298          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.172068          0.004891         -0.305650          0.927961  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.9 
#> Residual Deviance: 244.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.172067643      0.004890612     -0.305650182      0.927961380 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008053431      0.317732265      0.297767616 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.590812364 0.885286949 0.103761807 0.026557081 0.492982045 0.195112469
#>   [7] 0.492982045 0.668656030 0.525188757 0.461005315 0.348164380 0.471627564
#>  [13] 0.546941922 0.144912735 0.759620463 0.014466362 0.601971128 0.317970254
#>  [19] 0.066005146 0.046225766 0.222428363 0.919522837 0.702678015 0.128185789
#>  [25] 0.794166340 0.033041362 0.679963663 0.840280066 0.418932801 0.073434928
#>  [31] 0.004742444 0.195112469 0.976898589 0.081027919 0.119890706 0.679963663
#>  [37] 0.046225766 0.919522837 0.144912735 0.128185789 0.241059743 0.601971128
#>  [43] 0.317970254 0.794166340 0.601971128 0.195112469 0.557957216 0.289122458
#>  [49] 0.840280066 0.439891779 0.260302418 0.635173472 0.337982774 0.702678015
#>  [55] 0.144912735 0.817162697 0.144912735 0.885286949 0.702678015 0.429400480
#>  [61] 0.482267556 0.450433108 0.388126660 0.111732875 0.289122458 0.144912735
#>  [67] 0.840280066 0.942460259 0.885286949 0.736581452 0.185971599 0.492982045
#>  [73] 0.557957216 0.942460259 0.388126660 0.081027919 0.279298561 0.260302418
#>  [79] 0.840280066 0.289122458 0.222428363 0.635173472 0.657373545 0.039441487
#>  [85] 0.377906988 0.965353636 0.748092123 0.759620463 0.250680246 0.525188757
#>  [91] 0.782581059 0.004742444 0.557957216 0.988437421 0.408564405 0.020436181
#>  [97] 0.348164380 0.095969548 0.348164380 0.046225766 0.817162697 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    60   183    68   113   133    88 133.1    37    57    29   171    18    13 
#> 13.15  9.24 20.62 22.86 14.65 18.37 14.65 12.52 14.46 15.45 16.57 15.21 14.34 
#>    58    52    69   155    23   136   175   108   149    49   166    61    63 
#> 19.34 10.42 23.23 13.08 16.92 21.83 21.91 18.29  8.37 12.19 19.98 10.12 22.77 
#>    56   101   100   197   129  88.1    25   139   158  56.1 175.1 149.1  58.1 
#> 12.21  9.97 16.07 21.60 23.41 18.37  6.32 21.49 20.14 12.21 21.91  8.37 19.34 
#> 166.1    51 155.1  23.1  61.1 155.2  88.2    81    45 101.1   125   111   154 
#> 19.98 18.23 13.08 16.92 10.12 13.08 18.37 14.06 17.42  9.97 15.65 17.45 12.63 
#>   106  49.1    55   145  55.1 183.1  49.2    26   157   167    85   150  45.1 
#> 16.67 12.19 19.34 10.07 19.34  9.24 12.19 15.77 15.10 15.55 16.44 20.33 17.42 
#>  58.2 101.2    70 183.2    43    97 133.2  81.1  70.1  85.1 139.1    30 111.1 
#> 19.34  9.97  7.38  9.24 12.10 19.14 14.65 14.06  7.38 16.44 21.49 17.43 17.45 
#> 101.3  45.2 108.1 154.1   177    66   130    77   159  52.1    41  57.1    93 
#>  9.97 17.42 18.29 12.63 12.53 22.13 16.47  7.27 10.55 10.42 18.02 14.46 10.33 
#> 129.1  81.2    91   188    92 171.1    99 171.2 175.2 145.1   173   126   138 
#> 23.41 14.06  5.33 16.16 22.92 16.57 21.19 16.57 21.91 10.07 24.00 24.00 24.00 
#>   142   121   143    84    72    71     1    87   178 173.1   102     9    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7    74   147   109 109.1    22   1.1    82    27    19    54 121.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20 147.1 121.2   200 200.1   7.1    44   137    46   122    33  22.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1    94   186    11    75   162 138.1   148 142.1   151    17   9.1    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1    34   156   132   193 147.2 132.1 142.2   120 138.2   146  83.1 109.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.1  87.1 132.2  11.1  22.2 174.1    28   131  33.1    80 142.3  46.1  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38 156.1    53 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[25]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003352076               1.010300509               0.586437086 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.49855648              0.01353516             -0.19812527 
#>   grade_iii, Cure model 
#>              0.61191620 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 88    18.37      1  47        0         0
#> 134   17.81      1  47        1         0
#> 36    21.19      1  48        0         1
#> 170   19.54      1  43        0         1
#> 167   15.55      1  56        1         0
#> 52    10.42      1  52        0         1
#> 189   10.51      1  NA        1         0
#> 88.1  18.37      1  47        0         0
#> 187    9.92      1  39        1         0
#> 133   14.65      1  57        0         0
#> 66    22.13      1  53        0         0
#> 68    20.62      1  44        0         0
#> 81    14.06      1  34        0         0
#> 130   16.47      1  53        0         1
#> 77     7.27      1  67        0         1
#> 177   12.53      1  75        0         0
#> 90    20.94      1  50        0         1
#> 29    15.45      1  68        1         0
#> 8     18.43      1  32        0         0
#> 100   16.07      1  60        0         0
#> 194   22.40      1  38        0         1
#> 99    21.19      1  38        0         1
#> 40    18.00      1  28        1         0
#> 45    17.42      1  54        0         1
#> 68.1  20.62      1  44        0         0
#> 164   23.60      1  76        0         1
#> 97    19.14      1  65        0         1
#> 32    20.90      1  37        1         0
#> 85    16.44      1  36        0         0
#> 114   13.68      1  NA        0         0
#> 188   16.16      1  46        0         1
#> 105   19.75      1  60        0         0
#> 175   21.91      1  43        0         0
#> 127    3.53      1  62        0         1
#> 51    18.23      1  83        0         1
#> 175.1 21.91      1  43        0         0
#> 192   16.44      1  31        1         0
#> 187.1  9.92      1  39        1         0
#> 117   17.46      1  26        0         1
#> 168   23.72      1  70        0         0
#> 166   19.98      1  48        0         0
#> 78    23.88      1  43        0         0
#> 60    13.15      1  38        1         0
#> 42    12.43      1  49        0         1
#> 154   12.63      1  20        1         0
#> 32.1  20.90      1  37        1         0
#> 168.1 23.72      1  70        0         0
#> 61    10.12      1  36        0         1
#> 117.1 17.46      1  26        0         1
#> 52.1  10.42      1  52        0         1
#> 36.1  21.19      1  48        0         1
#> 183    9.24      1  67        1         0
#> 199   19.81      1  NA        0         1
#> 125   15.65      1  67        1         0
#> 130.1 16.47      1  53        0         1
#> 39    15.59      1  37        0         1
#> 45.1  17.42      1  54        0         1
#> 41    18.02      1  40        1         0
#> 111   17.45      1  47        0         1
#> 153   21.33      1  55        1         0
#> 190   20.81      1  42        1         0
#> 79    16.23      1  54        1         0
#> 26    15.77      1  49        0         1
#> 78.1  23.88      1  43        0         0
#> 5     16.43      1  51        0         1
#> 181   16.46      1  45        0         1
#> 194.1 22.40      1  38        0         1
#> 154.1 12.63      1  20        1         0
#> 18    15.21      1  49        1         0
#> 155   13.08      1  26        0         0
#> 81.1  14.06      1  34        0         0
#> 133.1 14.65      1  57        0         0
#> 51.1  18.23      1  83        0         1
#> 90.1  20.94      1  50        0         1
#> 192.1 16.44      1  31        1         0
#> 56    12.21      1  60        0         0
#> 91     5.33      1  61        0         1
#> 18.1  15.21      1  49        1         0
#> 100.1 16.07      1  60        0         0
#> 169   22.41      1  46        0         0
#> 166.1 19.98      1  48        0         0
#> 166.2 19.98      1  48        0         0
#> 15    22.68      1  48        0         0
#> 86    23.81      1  58        0         1
#> 18.2  15.21      1  49        1         0
#> 45.2  17.42      1  54        0         1
#> 107   11.18      1  54        1         0
#> 169.1 22.41      1  46        0         0
#> 171   16.57      1  41        0         1
#> 184   17.77      1  38        0         0
#> 41.1  18.02      1  40        1         0
#> 81.2  14.06      1  34        0         0
#> 78.2  23.88      1  43        0         0
#> 29.1  15.45      1  68        1         0
#> 4     17.64      1  NA        0         1
#> 189.1 10.51      1  NA        1         0
#> 85.1  16.44      1  36        0         0
#> 190.1 20.81      1  42        1         0
#> 18.3  15.21      1  49        1         0
#> 24    23.89      1  38        0         0
#> 58    19.34      1  39        0         0
#> 55    19.34      1  69        0         1
#> 63    22.77      1  31        1         0
#> 169.2 22.41      1  46        0         0
#> 25     6.32      1  34        1         0
#> 184.1 17.77      1  38        0         0
#> 145   10.07      1  65        1         0
#> 99.1  21.19      1  38        0         1
#> 61.1  10.12      1  36        0         1
#> 15.1  22.68      1  48        0         0
#> 108   18.29      1  39        0         1
#> 57    14.46      1  45        0         1
#> 62    24.00      0  71        0         0
#> 75    24.00      0  21        1         0
#> 53    24.00      0  32        0         1
#> 152   24.00      0  36        0         1
#> 126   24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 162   24.00      0  51        0         0
#> 53.1  24.00      0  32        0         1
#> 3     24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 7     24.00      0  37        1         0
#> 65    24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 138   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 46    24.00      0  71        0         0
#> 185.1 24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 162.1 24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 87    24.00      0  27        0         0
#> 116   24.00      0  58        0         1
#> 7.1   24.00      0  37        1         0
#> 148   24.00      0  61        1         0
#> 132   24.00      0  55        0         0
#> 144   24.00      0  28        0         1
#> 20.1  24.00      0  46        1         0
#> 22    24.00      0  52        1         0
#> 148.1 24.00      0  61        1         0
#> 126.1 24.00      0  48        0         0
#> 35    24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 112   24.00      0  61        0         0
#> 54.1  24.00      0  53        1         0
#> 122   24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 95    24.00      0  68        0         1
#> 135   24.00      0  58        1         0
#> 151   24.00      0  42        0         0
#> 38    24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 47    24.00      0  38        0         1
#> 148.2 24.00      0  61        1         0
#> 19    24.00      0  57        0         1
#> 74    24.00      0  43        0         1
#> 19.1  24.00      0  57        0         1
#> 71    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 176   24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 7.2   24.00      0  37        1         0
#> 3.1   24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 132.1 24.00      0  55        0         0
#> 64    24.00      0  43        0         0
#> 73    24.00      0  NA        0         1
#> 144.1 24.00      0  28        0         1
#> 54.2  24.00      0  53        1         0
#> 200   24.00      0  64        0         0
#> 2     24.00      0   9        0         0
#> 112.1 24.00      0  61        0         0
#> 3.2   24.00      0  31        1         0
#> 80.1  24.00      0  41        0         0
#> 2.1   24.00      0   9        0         0
#> 27    24.00      0  63        1         0
#> 2.2   24.00      0   9        0         0
#> 137.1 24.00      0  45        1         0
#> 191.1 24.00      0  60        0         1
#> 146   24.00      0  63        1         0
#> 3.3   24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 115.1 24.00      0  NA        1         0
#> 67.1  24.00      0  25        0         0
#> 98.1  24.00      0  34        1         0
#> 116.1 24.00      0  58        0         1
#> 102   24.00      0  49        0         0
#> 143   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 200.1 24.00      0  64        0         0
#> 137.2 24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 75.1  24.00      0  21        1         0
#> 17    24.00      0  38        0         1
#> 131   24.00      0  66        0         0
#> 2.3   24.00      0   9        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.499         NA        NA      NA
#> 2 age, Cure model           0.0135        NA        NA      NA
#> 3 grade_ii, Cure model     -0.198         NA        NA      NA
#> 4 grade_iii, Cure model     0.612         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00335        NA        NA      NA
#> 2 grade_ii, Survival model   1.01           NA        NA      NA
#> 3 grade_iii, Survival model  0.586          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.49856           0.01354          -0.19813           0.61192  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 256.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.49855648       0.01353516      -0.19812527       0.61191620 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003352076      1.010300509      0.586437086 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.61131563 0.67431099 0.41337702 0.56883429 0.83561659 0.94417671
#>   [7] 0.61131563 0.96813050 0.87312753 0.35875921 0.51582152 0.88872314
#>  [13] 0.74351344 0.98196987 0.92436014 0.45716791 0.84134020 0.60293150
#>  [19] 0.80600392 0.33075951 0.41337702 0.66692930 0.71680322 0.51582152
#>  [25] 0.21783068 0.59453414 0.47843928 0.76301526 0.79997295 0.55995788
#>  [31] 0.37293380 0.99553396 0.63612081 0.37293380 0.76301526 0.96813050
#>  [37] 0.69581475 0.17573377 0.53365715 0.07900704 0.90415971 0.92935441
#>  [43] 0.91438321 0.47843928 0.17573377 0.95383593 0.69581475 0.94417671
#>  [49] 0.41337702 0.97738477 0.82394255 0.74351344 0.82980082 0.71680322
#>  [55] 0.65191434 0.70983467 0.40042742 0.49788742 0.79389168 0.81798095
#>  [61] 0.07900704 0.78770176 0.75653652 0.33075951 0.91438321 0.85238175
#>  [67] 0.90927277 0.88872314 0.87312753 0.63612081 0.45716791 0.76301526
#>  [73] 0.93431885 0.99104349 0.85238175 0.80600392 0.28578956 0.53365715
#>  [79] 0.53365715 0.25412008 0.15164945 0.85238175 0.71680322 0.93927741
#>  [85] 0.28578956 0.73683844 0.68151793 0.65191434 0.88872314 0.07900704
#>  [91] 0.84134020 0.76301526 0.49788742 0.85238175 0.03275766 0.57756409
#>  [97] 0.57756409 0.23738539 0.28578956 0.98652835 0.68151793 0.96339561
#> [103] 0.41337702 0.95383593 0.25412008 0.62789190 0.88353659 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    88   134    36   170   167    52  88.1   187   133    66    68    81   130 
#> 18.37 17.81 21.19 19.54 15.55 10.42 18.37  9.92 14.65 22.13 20.62 14.06 16.47 
#>    77   177    90    29     8   100   194    99    40    45  68.1   164    97 
#>  7.27 12.53 20.94 15.45 18.43 16.07 22.40 21.19 18.00 17.42 20.62 23.60 19.14 
#>    32    85   188   105   175   127    51 175.1   192 187.1   117   168   166 
#> 20.90 16.44 16.16 19.75 21.91  3.53 18.23 21.91 16.44  9.92 17.46 23.72 19.98 
#>    78    60    42   154  32.1 168.1    61 117.1  52.1  36.1   183   125 130.1 
#> 23.88 13.15 12.43 12.63 20.90 23.72 10.12 17.46 10.42 21.19  9.24 15.65 16.47 
#>    39  45.1    41   111   153   190    79    26  78.1     5   181 194.1 154.1 
#> 15.59 17.42 18.02 17.45 21.33 20.81 16.23 15.77 23.88 16.43 16.46 22.40 12.63 
#>    18   155  81.1 133.1  51.1  90.1 192.1    56    91  18.1 100.1   169 166.1 
#> 15.21 13.08 14.06 14.65 18.23 20.94 16.44 12.21  5.33 15.21 16.07 22.41 19.98 
#> 166.2    15    86  18.2  45.2   107 169.1   171   184  41.1  81.2  78.2  29.1 
#> 19.98 22.68 23.81 15.21 17.42 11.18 22.41 16.57 17.77 18.02 14.06 23.88 15.45 
#>  85.1 190.1  18.3    24    58    55    63 169.2    25 184.1   145  99.1  61.1 
#> 16.44 20.81 15.21 23.89 19.34 19.34 22.77 22.41  6.32 17.77 10.07 21.19 10.12 
#>  15.1   108    57    62    75    53   152   126   165   162  53.1     3   137 
#> 22.68 18.29 14.46 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185    98     7    65   191   138    80    46 185.1 162.1    20    87   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1   148   132   144  20.1    22 148.1 126.1    35    54   112  54.1   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    95   135   151    38    67    47 148.2    19    74  19.1    71    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   176    83   7.2   3.1    12 132.1    64 144.1  54.2   200     2 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.2  80.1   2.1    27   2.2 137.1 191.1   146   3.3   119  67.1  98.1 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102   143    11 200.1 137.2   198  75.1    17   131   2.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[26]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00715874                0.71064468                0.58076983 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.52114956              0.02679942              0.30750013 
#>   grade_iii, Cure model 
#>              1.16630158 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 23    16.92      1  61        0         0
#> 58    19.34      1  39        0         0
#> 136   21.83      1  43        0         1
#> 133   14.65      1  57        0         0
#> 179   18.63      1  42        0         0
#> 13    14.34      1  54        0         1
#> 61    10.12      1  36        0         1
#> 92    22.92      1  47        0         1
#> 69    23.23      1  25        0         1
#> 164   23.60      1  76        0         1
#> 10    10.53      1  34        0         0
#> 140   12.68      1  59        1         0
#> 145   10.07      1  65        1         0
#> 127    3.53      1  62        0         1
#> 88    18.37      1  47        0         0
#> 16     8.71      1  71        0         1
#> 157   15.10      1  47        0         0
#> 70     7.38      1  30        1         0
#> 55    19.34      1  69        0         1
#> 110   17.56      1  65        0         1
#> 111   17.45      1  47        0         1
#> 55.1  19.34      1  69        0         1
#> 57    14.46      1  45        0         1
#> 169   22.41      1  46        0         0
#> 88.1  18.37      1  47        0         0
#> 15    22.68      1  48        0         0
#> 13.1  14.34      1  54        0         1
#> 188   16.16      1  46        0         1
#> 39    15.59      1  37        0         1
#> 107   11.18      1  54        1         0
#> 190   20.81      1  42        1         0
#> 171   16.57      1  41        0         1
#> 24    23.89      1  38        0         0
#> 197   21.60      1  69        1         0
#> 159   10.55      1  50        0         1
#> 140.1 12.68      1  59        1         0
#> 145.1 10.07      1  65        1         0
#> 166   19.98      1  48        0         0
#> 57.1  14.46      1  45        0         1
#> 181   16.46      1  45        0         1
#> 39.1  15.59      1  37        0         1
#> 110.1 17.56      1  65        0         1
#> 101    9.97      1  10        0         1
#> 123   13.00      1  44        1         0
#> 15.1  22.68      1  48        0         0
#> 50    10.02      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 5.1   16.43      1  51        0         1
#> 127.1  3.53      1  62        0         1
#> 51    18.23      1  83        0         1
#> 42    12.43      1  49        0         1
#> 106   16.67      1  49        1         0
#> 41    18.02      1  40        1         0
#> 179.1 18.63      1  42        0         0
#> 105   19.75      1  60        0         0
#> 197.1 21.60      1  69        1         0
#> 168   23.72      1  70        0         0
#> 190.1 20.81      1  42        1         0
#> 24.1  23.89      1  38        0         0
#> 175   21.91      1  43        0         0
#> 8     18.43      1  32        0         0
#> 117   17.46      1  26        0         1
#> 194   22.40      1  38        0         1
#> 197.2 21.60      1  69        1         0
#> 184   17.77      1  38        0         0
#> 42.1  12.43      1  49        0         1
#> 167   15.55      1  56        1         0
#> 164.1 23.60      1  76        0         1
#> 149    8.37      1  33        1         0
#> 32    20.90      1  37        1         0
#> 63    22.77      1  31        1         0
#> 45    17.42      1  54        0         1
#> 76    19.22      1  54        0         1
#> 179.2 18.63      1  42        0         0
#> 139   21.49      1  63        1         0
#> 100   16.07      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 4     17.64      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 192   16.44      1  31        1         0
#> 145.2 10.07      1  65        1         0
#> 79    16.23      1  54        1         0
#> 150   20.33      1  48        0         0
#> 63.1  22.77      1  31        1         0
#> 197.3 21.60      1  69        1         0
#> 106.1 16.67      1  49        1         0
#> 108   18.29      1  39        0         1
#> 108.1 18.29      1  39        0         1
#> 123.1 13.00      1  44        1         0
#> 90    20.94      1  50        0         1
#> 66    22.13      1  53        0         0
#> 114.1 13.68      1  NA        0         0
#> 59    10.16      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 15.2  22.68      1  48        0         0
#> 171.1 16.57      1  41        0         1
#> 66.1  22.13      1  53        0         0
#> 55.2  19.34      1  69        0         1
#> 192.1 16.44      1  31        1         0
#> 60.1  13.15      1  38        1         0
#> 41.1  18.02      1  40        1         0
#> 158   20.14      1  74        1         0
#> 168.1 23.72      1  70        0         0
#> 136.1 21.83      1  43        0         1
#> 86    23.81      1  58        0         1
#> 184.1 17.77      1  38        0         0
#> 6     15.64      1  39        0         0
#> 15.3  22.68      1  48        0         0
#> 153   21.33      1  55        1         0
#> 105.1 19.75      1  60        0         0
#> 36    21.19      1  48        0         1
#> 23.1  16.92      1  61        0         0
#> 112   24.00      0  61        0         0
#> 22    24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 72    24.00      0  40        0         1
#> 80    24.00      0  41        0         0
#> 44    24.00      0  56        0         0
#> 120   24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 64    24.00      0  43        0         0
#> 1     24.00      0  23        1         0
#> 33    24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 185   24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 71    24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 62    24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 46    24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 87    24.00      0  27        0         0
#> 137.1 24.00      0  45        1         0
#> 28    24.00      0  67        1         0
#> 132   24.00      0  55        0         0
#> 126   24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 147   24.00      0  76        1         0
#> 172   24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 11    24.00      0  42        0         1
#> 109   24.00      0  48        0         0
#> 62.1  24.00      0  71        0         0
#> 67.1  24.00      0  25        0         0
#> 48    24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 22.1  24.00      0  52        1         0
#> 135   24.00      0  58        1         0
#> 152   24.00      0  36        0         1
#> 137.2 24.00      0  45        1         0
#> 21    24.00      0  47        0         0
#> 53    24.00      0  32        0         1
#> 75    24.00      0  21        1         0
#> 71.1  24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 162   24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 75.1  24.00      0  21        1         0
#> 34    24.00      0  36        0         0
#> 104   24.00      0  50        1         0
#> 82    24.00      0  34        0         0
#> 80.1  24.00      0  41        0         0
#> 98    24.00      0  34        1         0
#> 11.1  24.00      0  42        0         1
#> 87.1  24.00      0  27        0         0
#> 151.1 24.00      0  42        0         0
#> 46.1  24.00      0  71        0         0
#> 21.1  24.00      0  47        0         0
#> 21.2  24.00      0  47        0         0
#> 67.2  24.00      0  25        0         0
#> 173   24.00      0  19        0         1
#> 94    24.00      0  51        0         1
#> 62.2  24.00      0  71        0         0
#> 132.1 24.00      0  55        0         0
#> 160   24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 144.1 24.00      0  28        0         1
#> 200.1 24.00      0  64        0         0
#> 65    24.00      0  57        1         0
#> 185.1 24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 138.1 24.00      0  44        1         0
#> 137.3 24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 74.1  24.00      0  43        0         1
#> 104.1 24.00      0  50        1         0
#> 138.2 24.00      0  44        1         0
#> 28.1  24.00      0  67        1         0
#> 98.1  24.00      0  34        1         0
#> 138.3 24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 35    24.00      0  51        0         0
#> 104.2 24.00      0  50        1         0
#> 148   24.00      0  61        1         0
#> 83    24.00      0   6        0         0
#> 200.2 24.00      0  64        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.52          NA        NA      NA
#> 2 age, Cure model           0.0268        NA        NA      NA
#> 3 grade_ii, Cure model      0.308         NA        NA      NA
#> 4 grade_iii, Cure model     1.17          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00716        NA        NA      NA
#> 2 grade_ii, Survival model   0.711          NA        NA      NA
#> 3 grade_iii, Survival model  0.581          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.5211            0.0268            0.3075            1.1663  
#> 
#> Degrees of Freedom: 194 Total (i.e. Null);  191 Residual
#> Null Deviance:	    268.5 
#> Residual Deviance: 252.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.52114956       0.02679942       0.30750013       1.16630158 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00715874       0.71064468       0.58076983 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.602277579 0.387070665 0.214634824 0.781377597 0.433006171 0.807609536
#>   [7] 0.917863322 0.093154644 0.081504270 0.058368539 0.909468479 0.859056489
#>  [13] 0.926228989 0.983784081 0.470653110 0.959169077 0.772596023 0.975622612
#>  [19] 0.387070665 0.555706048 0.583714568 0.387070665 0.790192364 0.161412312
#>  [25] 0.470653110 0.123317197 0.807609536 0.719848161 0.746364584 0.892692718
#>  [31] 0.322266426 0.639219999 0.006510961 0.235386067 0.901090343 0.859056489
#>  [37] 0.926228989 0.359018332 0.790192364 0.666523285 0.746364584 0.555706048
#>  [43] 0.950915739 0.842085354 0.123317197 0.693365971 0.693365971 0.983784081
#>  [49] 0.508801957 0.875916349 0.620867766 0.518366089 0.433006171 0.368338737
#>  [55] 0.235386067 0.035022036 0.322266426 0.006510961 0.203654823 0.461063578
#>  [61] 0.574376340 0.172113565 0.235386067 0.536958740 0.875916349 0.763842875
#>  [67] 0.058368539 0.967417079 0.312757154 0.104417491 0.593011640 0.423606022
#>  [73] 0.433006171 0.273522326 0.728653458 0.824946586 0.675611251 0.926228989
#>  [79] 0.711011962 0.340468460 0.104417491 0.235386067 0.620867766 0.489858182
#>  [85] 0.489858182 0.842085354 0.303082696 0.182579722 0.657398601 0.123317197
#>  [91] 0.639219999 0.182579722 0.387070665 0.675611251 0.824946586 0.518366089
#>  [97] 0.349767772 0.035022036 0.214634824 0.024194280 0.536958740 0.737496069
#> [103] 0.123317197 0.283490933 0.368338737 0.293330570 0.602277579 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    23    58   136   133   179    13    61    92    69   164    10   140   145 
#> 16.92 19.34 21.83 14.65 18.63 14.34 10.12 22.92 23.23 23.60 10.53 12.68 10.07 
#>   127    88    16   157    70    55   110   111  55.1    57   169  88.1    15 
#>  3.53 18.37  8.71 15.10  7.38 19.34 17.56 17.45 19.34 14.46 22.41 18.37 22.68 
#>  13.1   188    39   107   190   171    24   197   159 140.1 145.1   166  57.1 
#> 14.34 16.16 15.59 11.18 20.81 16.57 23.89 21.60 10.55 12.68 10.07 19.98 14.46 
#>   181  39.1 110.1   101   123  15.1     5   5.1 127.1    51    42   106    41 
#> 16.46 15.59 17.56  9.97 13.00 22.68 16.43 16.43  3.53 18.23 12.43 16.67 18.02 
#> 179.1   105 197.1   168 190.1  24.1   175     8   117   194 197.2   184  42.1 
#> 18.63 19.75 21.60 23.72 20.81 23.89 21.91 18.43 17.46 22.40 21.60 17.77 12.43 
#>   167 164.1   149    32    63    45    76 179.2   139   100    60   192 145.2 
#> 15.55 23.60  8.37 20.90 22.77 17.42 19.22 18.63 21.49 16.07 13.15 16.44 10.07 
#>    79   150  63.1 197.3 106.1   108 108.1 123.1    90    66   130  15.2 171.1 
#> 16.23 20.33 22.77 21.60 16.67 18.29 18.29 13.00 20.94 22.13 16.47 22.68 16.57 
#>  66.1  55.2 192.1  60.1  41.1   158 168.1 136.1    86 184.1     6  15.3   153 
#> 22.13 19.34 16.44 13.15 18.02 20.14 23.72 21.83 23.81 17.77 15.64 22.68 21.33 
#> 105.1    36  23.1   112    22   142    74    72    80    44   120   137    64 
#> 19.75 21.19 16.92 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1    33   138    67   185   193    71   144    62   200    46    17    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1    28   132   126   119   147   172   151    11   109  62.1  67.1    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186  22.1   135   152 137.2    21    53    75  71.1    84   162 112.1  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   104    82  80.1    98  11.1  87.1 151.1  46.1  21.1  21.2  67.2   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94  62.2 132.1   160  84.1 144.1 200.1    65 185.1    31 138.1 137.3   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1 104.1 138.2  28.1  98.1 138.3   122 173.1    35 104.2   148    83 200.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[27]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0007902495             -0.1902875041             -0.2492456331 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.621392472             0.007669333             0.201672172 
#>   grade_iii, Cure model 
#>             0.908253821 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 195   11.76      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 127    3.53      1  62        0         1
#> 61    10.12      1  36        0         1
#> 93    10.33      1  52        0         1
#> 39    15.59      1  37        0         1
#> 187    9.92      1  39        1         0
#> 129   23.41      1  53        1         0
#> 32    20.90      1  37        1         0
#> 195.1 11.76      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 81    14.06      1  34        0         0
#> 86    23.81      1  58        0         1
#> 61.1  10.12      1  36        0         1
#> 195.2 11.76      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 184   17.77      1  38        0         0
#> 190   20.81      1  42        1         0
#> 125   15.65      1  67        1         0
#> 187.1  9.92      1  39        1         0
#> 194   22.40      1  38        0         1
#> 125.1 15.65      1  67        1         0
#> 68    20.62      1  44        0         0
#> 81.1  14.06      1  34        0         0
#> 133   14.65      1  57        0         0
#> 42    12.43      1  49        0         1
#> 56    12.21      1  60        0         0
#> 97    19.14      1  65        0         1
#> 51    18.23      1  83        0         1
#> 4     17.64      1  NA        0         1
#> 40    18.00      1  28        1         0
#> 36    21.19      1  48        0         1
#> 133.1 14.65      1  57        0         0
#> 189   10.51      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 40.1  18.00      1  28        1         0
#> 51.1  18.23      1  83        0         1
#> 97.1  19.14      1  65        0         1
#> 14    12.89      1  21        0         0
#> 51.2  18.23      1  83        0         1
#> 128   20.35      1  35        0         1
#> 197   21.60      1  69        1         0
#> 114   13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 158   20.14      1  74        1         0
#> 190.1 20.81      1  42        1         0
#> 4.1   17.64      1  NA        0         1
#> 39.1  15.59      1  37        0         1
#> 70     7.38      1  30        1         0
#> 197.1 21.60      1  69        1         0
#> 43    12.10      1  61        0         1
#> 4.2   17.64      1  NA        0         1
#> 41    18.02      1  40        1         0
#> 155   13.08      1  26        0         0
#> 127.1  3.53      1  62        0         1
#> 63    22.77      1  31        1         0
#> 77     7.27      1  67        0         1
#> 199.1 19.81      1  NA        0         1
#> 159   10.55      1  50        0         1
#> 56.1  12.21      1  60        0         0
#> 190.2 20.81      1  42        1         0
#> 63.1  22.77      1  31        1         0
#> 194.1 22.40      1  38        0         1
#> 36.1  21.19      1  48        0         1
#> 88    18.37      1  47        0         0
#> 13    14.34      1  54        0         1
#> 99    21.19      1  38        0         1
#> 195.3 11.76      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 169   22.41      1  46        0         0
#> 88.1  18.37      1  47        0         0
#> 171   16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 85.1  16.44      1  36        0         0
#> 170   19.54      1  43        0         1
#> 194.2 22.40      1  38        0         1
#> 29    15.45      1  68        1         0
#> 108   18.29      1  39        0         1
#> 157   15.10      1  47        0         0
#> 194.3 22.40      1  38        0         1
#> 159.1 10.55      1  50        0         1
#> 108.1 18.29      1  39        0         1
#> 36.2  21.19      1  48        0         1
#> 199.2 19.81      1  NA        0         1
#> 16     8.71      1  71        0         1
#> 140   12.68      1  59        1         0
#> 159.2 10.55      1  50        0         1
#> 117   17.46      1  26        0         1
#> 85.2  16.44      1  36        0         0
#> 16.1   8.71      1  71        0         1
#> 5     16.43      1  51        0         1
#> 15    22.68      1  48        0         0
#> 40.2  18.00      1  28        1         0
#> 192   16.44      1  31        1         0
#> 107   11.18      1  54        1         0
#> 13.1  14.34      1  54        0         1
#> 114.1 13.68      1  NA        0         0
#> 41.1  18.02      1  40        1         0
#> 199.3 19.81      1  NA        0         1
#> 158.1 20.14      1  74        1         0
#> 184.1 17.77      1  38        0         0
#> 157.1 15.10      1  47        0         0
#> 164   23.60      1  76        0         1
#> 18    15.21      1  49        1         0
#> 149    8.37      1  33        1         0
#> 128.1 20.35      1  35        0         1
#> 37    12.52      1  57        1         0
#> 6     15.64      1  39        0         0
#> 10    10.53      1  34        0         0
#> 49    12.19      1  48        1         0
#> 125.2 15.65      1  67        1         0
#> 187.2  9.92      1  39        1         0
#> 82    24.00      0  34        0         0
#> 122   24.00      0  66        0         0
#> 71    24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 65    24.00      0  57        1         0
#> 19    24.00      0  57        0         1
#> 116   24.00      0  58        0         1
#> 22    24.00      0  52        1         0
#> 71.1  24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 137   24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 95    24.00      0  68        0         1
#> 198   24.00      0  66        0         1
#> 132   24.00      0  55        0         0
#> 3     24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 156   24.00      0  50        1         0
#> 196   24.00      0  19        0         0
#> 31    24.00      0  36        0         1
#> 22.1  24.00      0  52        1         0
#> 198.1 24.00      0  66        0         1
#> 46    24.00      0  71        0         0
#> 72    24.00      0  40        0         1
#> 21    24.00      0  47        0         0
#> 44    24.00      0  56        0         0
#> 120   24.00      0  68        0         1
#> 121.1 24.00      0  57        1         0
#> 72.1  24.00      0  40        0         1
#> 176   24.00      0  43        0         1
#> 94    24.00      0  51        0         1
#> 3.1   24.00      0  31        1         0
#> 22.2  24.00      0  52        1         0
#> 172   24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 75    24.00      0  21        1         0
#> 21.1  24.00      0  47        0         0
#> 83    24.00      0   6        0         0
#> 141   24.00      0  44        1         0
#> 71.2  24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 141.1 24.00      0  44        1         0
#> 82.1  24.00      0  34        0         0
#> 82.2  24.00      0  34        0         0
#> 20    24.00      0  46        1         0
#> 144   24.00      0  28        0         1
#> 174   24.00      0  49        1         0
#> 174.1 24.00      0  49        1         0
#> 152   24.00      0  36        0         1
#> 80    24.00      0  41        0         0
#> 71.3  24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 72.2  24.00      0  40        0         1
#> 109   24.00      0  48        0         0
#> 75.1  24.00      0  21        1         0
#> 21.2  24.00      0  47        0         0
#> 3.2   24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 9     24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 46.1  24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 104.1 24.00      0  50        1         0
#> 31.1  24.00      0  36        0         1
#> 104.2 24.00      0  50        1         0
#> 172.1 24.00      0  41        0         0
#> 148   24.00      0  61        1         0
#> 146   24.00      0  63        1         0
#> 132.1 24.00      0  55        0         0
#> 186   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 38    24.00      0  31        1         0
#> 116.1 24.00      0  58        0         1
#> 21.3  24.00      0  47        0         0
#> 11    24.00      0  42        0         1
#> 109.1 24.00      0  48        0         0
#> 27    24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 11.1  24.00      0  42        0         1
#> 9.1   24.00      0  31        1         0
#> 162.1 24.00      0  51        0         0
#> 38.1  24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 147   24.00      0  76        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.621          NA        NA      NA
#> 2 age, Cure model          0.00767        NA        NA      NA
#> 3 grade_ii, Cure model     0.202          NA        NA      NA
#> 4 grade_iii, Cure model    0.908          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000790        NA        NA      NA
#> 2 grade_ii, Survival model  -0.190           NA        NA      NA
#> 3 grade_iii, Survival model -0.249           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.621392          0.007669          0.201672          0.908254  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 249.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.621392472      0.007669333      0.201672172      0.908253821 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0007902495    -0.1902875041    -0.2492456331 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.403580574 0.975403892 0.854669989 0.842730055 0.532857802 0.878543697
#>   [7] 0.012571836 0.130852800 0.212073475 0.645371541 0.001668344 0.854669989
#>  [13] 0.435974174 0.371860148 0.139767926 0.489097353 0.878543697 0.047700931
#>  [19] 0.489097353 0.165789040 0.645371541 0.600163017 0.725721478 0.737356545
#>  [25] 0.231395356 0.290157126 0.340853385 0.099057482 0.600163017 0.340853385
#>  [31] 0.290157126 0.231395356 0.691074267 0.290157126 0.174978284 0.083068967
#>  [37] 0.075007590 0.193329421 0.139767926 0.532857802 0.950852518 0.083068967
#>  [43] 0.772162477 0.320221469 0.668100992 0.975403892 0.019526005 0.963107801
#>  [49] 0.795662070 0.737356545 0.139767926 0.019526005 0.047700931 0.099057482
#>  [55] 0.250828802 0.622663372 0.099057482 0.425106940 0.040160570 0.250828802
#>  [61] 0.414309435 0.679568063 0.435974174 0.221682469 0.047700931 0.555092691
#>  [67] 0.270318033 0.577699848 0.047700931 0.795662070 0.270318033 0.099057482
#>  [73] 0.914397957 0.702583628 0.795662070 0.392865135 0.435974174 0.914397957
#>  [79] 0.478128385 0.032674388 0.340853385 0.435974174 0.783893972 0.622663372
#>  [85] 0.320221469 0.193329421 0.371860148 0.577699848 0.006392117 0.566373179
#>  [91] 0.938627591 0.174978284 0.714132902 0.521735968 0.830832598 0.760476664
#>  [97] 0.489097353 0.878543697 0.000000000 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    23   127    61    93    39   187   129    32   105    81    86  61.1    85 
#> 16.92  3.53 10.12 10.33 15.59  9.92 23.41 20.90 19.75 14.06 23.81 10.12 16.44 
#>   184   190   125 187.1   194 125.1    68  81.1   133    42    56    97    51 
#> 17.77 20.81 15.65  9.92 22.40 15.65 20.62 14.06 14.65 12.43 12.21 19.14 18.23 
#>    40    36 133.1  40.1  51.1  97.1    14  51.2   128   197    66   158 190.1 
#> 18.00 21.19 14.65 18.00 18.23 19.14 12.89 18.23 20.35 21.60 22.13 20.14 20.81 
#>  39.1    70 197.1    43    41   155 127.1    63    77   159  56.1 190.2  63.1 
#> 15.59  7.38 21.60 12.10 18.02 13.08  3.53 22.77  7.27 10.55 12.21 20.81 22.77 
#> 194.1  36.1    88    13    99   130   169  88.1   171   123  85.1   170 194.2 
#> 22.40 21.19 18.37 14.34 21.19 16.47 22.41 18.37 16.57 13.00 16.44 19.54 22.40 
#>    29   108   157 194.3 159.1 108.1  36.2    16   140 159.2   117  85.2  16.1 
#> 15.45 18.29 15.10 22.40 10.55 18.29 21.19  8.71 12.68 10.55 17.46 16.44  8.71 
#>     5    15  40.2   192   107  13.1  41.1 158.1 184.1 157.1   164    18   149 
#> 16.43 22.68 18.00 16.44 11.18 14.34 18.02 20.14 17.77 15.10 23.60 15.21  8.37 
#> 128.1    37     6    10    49 125.2 187.2    82   122    71   118   121    65 
#> 20.35 12.52 15.64 10.53 12.19 15.65  9.92 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   116    22  71.1    35    84   137   102    95   198   132     3     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   196    31  22.1 198.1    46    72    21    44   120 121.1  72.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   3.1  22.2   172    47    75  21.1    83   141  71.2   104 141.1  82.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.2    20   144   174 174.1   152    80  71.3   185  72.2   109  75.1  21.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.2    67     9   182  46.1    28 104.1  31.1 104.2 172.1   148   146 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   162   138   151    38 116.1  21.3    11 109.1    27    12  11.1   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1  38.1   193   147 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[28]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002393253               0.110128592              -0.003803464 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.69977547              0.01232235              0.46131719 
#>   grade_iii, Cure model 
#>              0.55055196 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 18    15.21      1  49        1         0
#> 63    22.77      1  31        1         0
#> 36    21.19      1  48        0         1
#> 88    18.37      1  47        0         0
#> 30    17.43      1  78        0         0
#> 175   21.91      1  43        0         0
#> 113   22.86      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 50.1  10.02      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 41    18.02      1  40        1         0
#> 197   21.60      1  69        1         0
#> 192   16.44      1  31        1         0
#> 108   18.29      1  39        0         1
#> 37    12.52      1  57        1         0
#> 100   16.07      1  60        0         0
#> 91     5.33      1  61        0         1
#> 6     15.64      1  39        0         0
#> 6.1   15.64      1  39        0         0
#> 124    9.73      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 149    8.37      1  33        1         0
#> 133   14.65      1  57        0         0
#> 124.1  9.73      1  NA        1         0
#> 175.1 21.91      1  43        0         0
#> 155   13.08      1  26        0         0
#> 30.1  17.43      1  78        0         0
#> 105   19.75      1  60        0         0
#> 123   13.00      1  44        1         0
#> 45    17.42      1  54        0         1
#> 100.1 16.07      1  60        0         0
#> 63.1  22.77      1  31        1         0
#> 86    23.81      1  58        0         1
#> 99    21.19      1  38        0         1
#> 63.2  22.77      1  31        1         0
#> 10    10.53      1  34        0         0
#> 192.1 16.44      1  31        1         0
#> 155.1 13.08      1  26        0         0
#> 39    15.59      1  37        0         1
#> 130   16.47      1  53        0         1
#> 105.1 19.75      1  60        0         0
#> 128   20.35      1  35        0         1
#> 199.1 19.81      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 187    9.92      1  39        1         0
#> 175.2 21.91      1  43        0         0
#> 85    16.44      1  36        0         0
#> 130.1 16.47      1  53        0         1
#> 89    11.44      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 158   20.14      1  74        1         0
#> 42    12.43      1  49        0         1
#> 56    12.21      1  60        0         0
#> 66    22.13      1  53        0         0
#> 59    10.16      1  NA        1         0
#> 56.1  12.21      1  60        0         0
#> 36.1  21.19      1  48        0         1
#> 99.1  21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 145   10.07      1  65        1         0
#> 78    23.88      1  43        0         0
#> 153   21.33      1  55        1         0
#> 164   23.60      1  76        0         1
#> 194   22.40      1  38        0         1
#> 5     16.43      1  51        0         1
#> 197.1 21.60      1  69        1         0
#> 166   19.98      1  48        0         0
#> 97    19.14      1  65        0         1
#> 56.2  12.21      1  60        0         0
#> 15    22.68      1  48        0         0
#> 55    19.34      1  69        0         1
#> 123.1 13.00      1  44        1         0
#> 192.2 16.44      1  31        1         0
#> 52    10.42      1  52        0         1
#> 29    15.45      1  68        1         0
#> 81.1  14.06      1  34        0         0
#> 117   17.46      1  26        0         1
#> 129   23.41      1  53        1         0
#> 52.1  10.42      1  52        0         1
#> 179   18.63      1  42        0         0
#> 106.1 16.67      1  49        1         0
#> 187.1  9.92      1  39        1         0
#> 110   17.56      1  65        0         1
#> 106.2 16.67      1  49        1         0
#> 180   14.82      1  37        0         0
#> 79    16.23      1  54        1         0
#> 61    10.12      1  36        0         1
#> 140.1 12.68      1  59        1         0
#> 190   20.81      1  42        1         0
#> 195   11.76      1  NA        1         0
#> 99.2  21.19      1  38        0         1
#> 154   12.63      1  20        1         0
#> 169   22.41      1  46        0         0
#> 177   12.53      1  75        0         0
#> 18.1  15.21      1  49        1         0
#> 26    15.77      1  49        0         1
#> 76    19.22      1  54        0         1
#> 43    12.10      1  61        0         1
#> 100.2 16.07      1  60        0         0
#> 167   15.55      1  56        1         0
#> 26.1  15.77      1  49        0         1
#> 113.1 22.86      1  34        0         0
#> 154.1 12.63      1  20        1         0
#> 88.1  18.37      1  47        0         0
#> 16     8.71      1  71        0         1
#> 96    14.54      1  33        0         1
#> 145.1 10.07      1  65        1         0
#> 155.2 13.08      1  26        0         0
#> 63.3  22.77      1  31        1         0
#> 129.1 23.41      1  53        1         0
#> 166.1 19.98      1  48        0         0
#> 178   24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 109   24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 34    24.00      0  36        0         0
#> 7     24.00      0  37        1         0
#> 35    24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 102   24.00      0  49        0         0
#> 94    24.00      0  51        0         1
#> 151   24.00      0  42        0         0
#> 142   24.00      0  53        0         0
#> 112   24.00      0  61        0         0
#> 67.1  24.00      0  25        0         0
#> 53    24.00      0  32        0         1
#> 62    24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 193   24.00      0  45        0         1
#> 176   24.00      0  43        0         1
#> 87    24.00      0  27        0         0
#> 131   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 148   24.00      0  61        1         0
#> 162   24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 119.1 24.00      0  17        0         0
#> 185.1 24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 53.1  24.00      0  32        0         1
#> 64    24.00      0  43        0         0
#> 103   24.00      0  56        1         0
#> 22    24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 94.1  24.00      0  51        0         1
#> 7.1   24.00      0  37        1         0
#> 121   24.00      0  57        1         0
#> 132   24.00      0  55        0         0
#> 143   24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 174   24.00      0  49        1         0
#> 143.1 24.00      0  51        0         0
#> 62.1  24.00      0  71        0         0
#> 198   24.00      0  66        0         1
#> 19    24.00      0  57        0         1
#> 80    24.00      0  41        0         0
#> 193.1 24.00      0  45        0         1
#> 148.1 24.00      0  61        1         0
#> 19.1  24.00      0  57        0         1
#> 126   24.00      0  48        0         0
#> 126.1 24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 196   24.00      0  19        0         0
#> 72    24.00      0  40        0         1
#> 132.1 24.00      0  55        0         0
#> 143.2 24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 138   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 138.1 24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 126.2 24.00      0  48        0         0
#> 7.2   24.00      0  37        1         0
#> 53.2  24.00      0  32        0         1
#> 44    24.00      0  56        0         0
#> 82    24.00      0  34        0         0
#> 144   24.00      0  28        0         1
#> 9.1   24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 44.1  24.00      0  56        0         0
#> 137   24.00      0  45        1         0
#> 172   24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 138.2 24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 53.3  24.00      0  32        0         1
#> 2     24.00      0   9        0         0
#> 198.1 24.00      0  66        0         1
#> 11    24.00      0  42        0         1
#> 141   24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 182.1 24.00      0  35        0         0
#> 98    24.00      0  34        1         0
#> 87.1  24.00      0  27        0         0
#> 62.2  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.700         NA        NA      NA
#> 2 age, Cure model           0.0123        NA        NA      NA
#> 3 grade_ii, Cure model      0.461         NA        NA      NA
#> 4 grade_iii, Cure model     0.551         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00239        NA        NA      NA
#> 2 grade_ii, Survival model   0.110          NA        NA      NA
#> 3 grade_iii, Survival model -0.00380        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.69978           0.01232           0.46132           0.55055  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 257.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.69977547       0.01232235       0.46131719       0.55055196 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002393253      0.110128592     -0.003803464 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.71110315 0.12569385 0.27427093 0.43903689 0.49590468 0.21197871
#>   [7] 0.10129429 0.75470431 0.52384039 0.46749250 0.24315132 0.56924386
#>  [13] 0.45795323 0.85758428 0.62273847 0.99170311 0.66690766 0.66690766
#>  [19] 0.98339560 0.73725249 0.21197871 0.77201367 0.49590468 0.38116770
#>  [25] 0.79777640 0.51448671 0.62273847 0.12569385 0.03023304 0.27427093
#>  [31] 0.12569385 0.90818819 0.56924386 0.77201367 0.68456783 0.55103837
#>  [37] 0.38116770 0.34187569 0.81495596 0.95847470 0.21197871 0.56924386
#>  [43] 0.55103837 0.33185868 0.35186834 0.86609524 0.87459617 0.20084860
#>  [49] 0.87459617 0.27427093 0.27427093 0.08798222 0.94181084 0.01226472
#>  [55] 0.26383312 0.04712487 0.18963463 0.60468465 0.24315132 0.36176748
#>  [61] 0.41978992 0.87459617 0.16700242 0.40041687 0.79777640 0.56924386
#>  [67] 0.91662992 0.70229170 0.75470431 0.48645161 0.06298117 0.91662992
#>  [73] 0.42942480 0.52384039 0.95847470 0.47698749 0.52384039 0.72850746
#>  [79] 0.61372951 0.93339622 0.81495596 0.32180801 0.27427093 0.83203268
#>  [85] 0.17836017 0.84904964 0.71110315 0.64920164 0.41011868 0.89973981
#>  [91] 0.62273847 0.69344542 0.64920164 0.10129429 0.83203268 0.43903689
#>  [97] 0.97507345 0.74598239 0.94181084 0.77201367 0.12569385 0.06298117
#> [103] 0.36176748 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    18    63    36    88    30   175   113    81   106    41   197   192   108 
#> 15.21 22.77 21.19 18.37 17.43 21.91 22.86 14.06 16.67 18.02 21.60 16.44 18.29 
#>    37   100    91     6   6.1   149   133 175.1   155  30.1   105   123    45 
#> 12.52 16.07  5.33 15.64 15.64  8.37 14.65 21.91 13.08 17.43 19.75 13.00 17.42 
#> 100.1  63.1    86    99  63.2    10 192.1 155.1    39   130 105.1   128   140 
#> 16.07 22.77 23.81 21.19 22.77 10.53 16.44 13.08 15.59 16.47 19.75 20.35 12.68 
#>   187 175.2    85 130.1    68   158    42    56    66  56.1  36.1  99.1    92 
#>  9.92 21.91 16.44 16.47 20.62 20.14 12.43 12.21 22.13 12.21 21.19 21.19 22.92 
#>   145    78   153   164   194     5 197.1   166    97  56.2    15    55 123.1 
#> 10.07 23.88 21.33 23.60 22.40 16.43 21.60 19.98 19.14 12.21 22.68 19.34 13.00 
#> 192.2    52    29  81.1   117   129  52.1   179 106.1 187.1   110 106.2   180 
#> 16.44 10.42 15.45 14.06 17.46 23.41 10.42 18.63 16.67  9.92 17.56 16.67 14.82 
#>    79    61 140.1   190  99.2   154   169   177  18.1    26    76    43 100.2 
#> 16.23 10.12 12.68 20.81 21.19 12.63 22.41 12.53 15.21 15.77 19.22 12.10 16.07 
#>   167  26.1 113.1 154.1  88.1    16    96 145.1 155.2  63.3 129.1 166.1   178 
#> 15.55 15.77 22.86 12.63 18.37  8.71 14.54 10.07 13.08 22.77 23.41 19.98 24.00 
#>    95   109    67    34     7    35   119   102    94   151   142   112  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    62    12   193   176    87   131   165   148   162 162.1   185 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1  53.1    64   103    22   152  94.1   7.1   121   132   143   186   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.1  62.1   198    19    80 193.1 148.1  19.1   126 126.1   135   196    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1 143.2     9   182   138    65 138.1    21  21.1 126.2   7.2  53.2    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82   144   9.1   163  44.1   137   172    47 138.2    17   147  53.3     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.1    11   141     3 182.1    98  87.1  62.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[29]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009519455               0.554220663               0.218504384 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.04506499              0.02022294              0.02003676 
#>   grade_iii, Cure model 
#>              0.84805620 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 128   20.35      1  35        0         1
#> 25     6.32      1  34        1         0
#> 92    22.92      1  47        0         1
#> 145   10.07      1  65        1         0
#> 136   21.83      1  43        0         1
#> 140   12.68      1  59        1         0
#> 25.1   6.32      1  34        1         0
#> 42    12.43      1  49        0         1
#> 88    18.37      1  47        0         0
#> 93    10.33      1  52        0         1
#> 8     18.43      1  32        0         0
#> 169   22.41      1  46        0         0
#> 81    14.06      1  34        0         0
#> 32    20.90      1  37        1         0
#> 130   16.47      1  53        0         1
#> 106   16.67      1  49        1         0
#> 129   23.41      1  53        1         0
#> 167   15.55      1  56        1         0
#> 159   10.55      1  50        0         1
#> 55    19.34      1  69        0         1
#> 99    21.19      1  38        0         1
#> 124    9.73      1  NA        1         0
#> 32.1  20.90      1  37        1         0
#> 69    23.23      1  25        0         1
#> 4     17.64      1  NA        0         1
#> 55.1  19.34      1  69        0         1
#> 10    10.53      1  34        0         0
#> 183    9.24      1  67        1         0
#> 124.1  9.73      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 89    11.44      1  NA        0         0
#> 179   18.63      1  42        0         0
#> 167.1 15.55      1  56        1         0
#> 85    16.44      1  36        0         0
#> 93.1  10.33      1  52        0         1
#> 51    18.23      1  83        0         1
#> 24    23.89      1  38        0         0
#> 66    22.13      1  53        0         0
#> 123   13.00      1  44        1         0
#> 164   23.60      1  76        0         1
#> 76    19.22      1  54        0         1
#> 16     8.71      1  71        0         1
#> 157   15.10      1  47        0         0
#> 181   16.46      1  45        0         1
#> 164.1 23.60      1  76        0         1
#> 168   23.72      1  70        0         0
#> 171   16.57      1  41        0         1
#> 134   17.81      1  47        1         0
#> 56    12.21      1  60        0         0
#> 170   19.54      1  43        0         1
#> 129.1 23.41      1  53        1         0
#> 179.1 18.63      1  42        0         0
#> 124.2  9.73      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 181.1 16.46      1  45        0         1
#> 145.1 10.07      1  65        1         0
#> 77     7.27      1  67        0         1
#> 167.2 15.55      1  56        1         0
#> 10.1  10.53      1  34        0         0
#> 183.1  9.24      1  67        1         0
#> 93.2  10.33      1  52        0         1
#> 106.1 16.67      1  49        1         0
#> 158   20.14      1  74        1         0
#> 25.2   6.32      1  34        1         0
#> 10.2  10.53      1  34        0         0
#> 30    17.43      1  78        0         0
#> 164.2 23.60      1  76        0         1
#> 29    15.45      1  68        1         0
#> 36    21.19      1  48        0         1
#> 14    12.89      1  21        0         0
#> 68    20.62      1  44        0         0
#> 127    3.53      1  62        0         1
#> 56.1  12.21      1  60        0         0
#> 13.1  14.34      1  54        0         1
#> 24.1  23.89      1  38        0         0
#> 16.1   8.71      1  71        0         1
#> 36.1  21.19      1  48        0         1
#> 134.1 17.81      1  47        1         0
#> 180   14.82      1  37        0         0
#> 197   21.60      1  69        1         0
#> 194   22.40      1  38        0         1
#> 5     16.43      1  51        0         1
#> 113   22.86      1  34        0         0
#> 150   20.33      1  48        0         0
#> 14.1  12.89      1  21        0         0
#> 171.1 16.57      1  41        0         1
#> 25.3   6.32      1  34        1         0
#> 139   21.49      1  63        1         0
#> 14.2  12.89      1  21        0         0
#> 92.1  22.92      1  47        0         1
#> 153   21.33      1  55        1         0
#> 194.1 22.40      1  38        0         1
#> 154.1 12.63      1  20        1         0
#> 128.1 20.35      1  35        0         1
#> 89.1  11.44      1  NA        0         0
#> 117   17.46      1  26        0         1
#> 23    16.92      1  61        0         0
#> 66.1  22.13      1  53        0         0
#> 5.1   16.43      1  51        0         1
#> 159.1 10.55      1  50        0         1
#> 124.3  9.73      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 8.1   18.43      1  32        0         0
#> 59    10.16      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 105   19.75      1  60        0         0
#> 133   14.65      1  57        0         0
#> 190   20.81      1  42        1         0
#> 52    10.42      1  52        0         1
#> 70     7.38      1  30        1         0
#> 108   18.29      1  39        0         1
#> 39.1  15.59      1  37        0         1
#> 34    24.00      0  36        0         0
#> 82    24.00      0  34        0         0
#> 119   24.00      0  17        0         0
#> 7     24.00      0  37        1         0
#> 11    24.00      0  42        0         1
#> 109   24.00      0  48        0         0
#> 3     24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 9     24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 103   24.00      0  56        1         0
#> 53    24.00      0  32        0         1
#> 119.1 24.00      0  17        0         0
#> 178   24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 31    24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 1.1   24.00      0  23        1         0
#> 185   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 33    24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 80    24.00      0  41        0         0
#> 116   24.00      0  58        0         1
#> 94    24.00      0  51        0         1
#> 12    24.00      0  63        0         0
#> 160   24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 47    24.00      0  38        0         1
#> 135   24.00      0  58        1         0
#> 11.1  24.00      0  42        0         1
#> 35    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 80.1  24.00      0  41        0         0
#> 118   24.00      0  44        1         0
#> 103.2 24.00      0  56        1         0
#> 182   24.00      0  35        0         0
#> 98    24.00      0  34        1         0
#> 64    24.00      0  43        0         0
#> 34.1  24.00      0  36        0         0
#> 121   24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 146.1 24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 122   24.00      0  66        0         0
#> 35.1  24.00      0  51        0         0
#> 135.1 24.00      0  58        1         0
#> 142   24.00      0  53        0         0
#> 80.2  24.00      0  41        0         0
#> 47.1  24.00      0  38        0         1
#> 176   24.00      0  43        0         1
#> 163   24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 185.1 24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 83    24.00      0   6        0         0
#> 95    24.00      0  68        0         1
#> 84.1  24.00      0  39        0         1
#> 182.1 24.00      0  35        0         0
#> 12.1  24.00      0  63        0         0
#> 31.1  24.00      0  36        0         1
#> 126   24.00      0  48        0         0
#> 109.1 24.00      0  48        0         0
#> 174   24.00      0  49        1         0
#> 160.1 24.00      0  31        1         0
#> 11.2  24.00      0  42        0         1
#> 162.1 24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 138.1 24.00      0  44        1         0
#> 94.1  24.00      0  51        0         1
#> 82.1  24.00      0  34        0         0
#> 131   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 34.2  24.00      0  36        0         0
#> 11.3  24.00      0  42        0         1
#> 48.1  24.00      0  31        1         0
#> 74.1  24.00      0  43        0         1
#> 64.1  24.00      0  43        0         0
#> 33.1  24.00      0  53        0         0
#> 35.2  24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.05          NA        NA      NA
#> 2 age, Cure model           0.0202        NA        NA      NA
#> 3 grade_ii, Cure model      0.0200        NA        NA      NA
#> 4 grade_iii, Cure model     0.848         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00952        NA        NA      NA
#> 2 grade_ii, Survival model   0.554          NA        NA      NA
#> 3 grade_iii, Survival model  0.219          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.04506           0.02022           0.02004           0.84806  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 253.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.04506499       0.02022294       0.02003676       0.84805620 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009519455      0.554220663      0.218504384 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.211685302 0.943634470 0.049999012 0.852006347 0.117560022 0.685726591
#>   [7] 0.943634470 0.718419065 0.331246498 0.818184139 0.311933955 0.070816427
#>  [13] 0.631143759 0.177446819 0.451827392 0.411330676 0.030607122 0.535285520
#>  [19] 0.751352796 0.265035078 0.152147295 0.177446819 0.043160991 0.265035078
#>  [25] 0.773496109 0.874744262 0.696782165 0.292930641 0.535285520 0.482780327
#>  [31] 0.818184139 0.351101505 0.001922832 0.101198598 0.642133255 0.013655527
#>  [37] 0.283475410 0.897529701 0.577159005 0.462164521 0.013655527 0.008081871
#>  [43] 0.431503972 0.361173740 0.729356669 0.255879096 0.030607122 0.292930641
#>  [49] 0.609459605 0.462164521 0.852006347 0.932057455 0.535285520 0.773496109
#>  [55] 0.874744262 0.818184139 0.411330676 0.237824030 0.943634470 0.773496109
#>  [61] 0.390924840 0.013655527 0.566529197 0.152147295 0.653095561 0.202966454
#>  [67] 0.988536844 0.729356669 0.609459605 0.001922832 0.897529701 0.152147295
#>  [73] 0.361173740 0.587859908 0.126155116 0.085825057 0.493266363 0.063457422
#>  [79] 0.228915179 0.653095561 0.431503972 0.943634470 0.134807915 0.653095561
#>  [85] 0.049999012 0.143485675 0.085825057 0.696782165 0.211685302 0.380915244
#>  [91] 0.401070591 0.101198598 0.493266363 0.751352796 0.514222171 0.311933955
#>  [97] 0.070816427 0.246779708 0.598618958 0.194373952 0.806865738 0.920529481
#> [103] 0.341153531 0.514222171 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   128    25    92   145   136   140  25.1    42    88    93     8   169    81 
#> 20.35  6.32 22.92 10.07 21.83 12.68  6.32 12.43 18.37 10.33 18.43 22.41 14.06 
#>    32   130   106   129   167   159    55    99  32.1    69  55.1    10   183 
#> 20.90 16.47 16.67 23.41 15.55 10.55 19.34 21.19 20.90 23.23 19.34 10.53  9.24 
#>   154   179 167.1    85  93.1    51    24    66   123   164    76    16   157 
#> 12.63 18.63 15.55 16.44 10.33 18.23 23.89 22.13 13.00 23.60 19.22  8.71 15.10 
#>   181 164.1   168   171   134    56   170 129.1 179.1    13 181.1 145.1    77 
#> 16.46 23.60 23.72 16.57 17.81 12.21 19.54 23.41 18.63 14.34 16.46 10.07  7.27 
#> 167.2  10.1 183.1  93.2 106.1   158  25.2  10.2    30 164.2    29    36    14 
#> 15.55 10.53  9.24 10.33 16.67 20.14  6.32 10.53 17.43 23.60 15.45 21.19 12.89 
#>    68   127  56.1  13.1  24.1  16.1  36.1 134.1   180   197   194     5   113 
#> 20.62  3.53 12.21 14.34 23.89  8.71 21.19 17.81 14.82 21.60 22.40 16.43 22.86 
#>   150  14.1 171.1  25.3   139  14.2  92.1   153 194.1 154.1 128.1   117    23 
#> 20.33 12.89 16.57  6.32 21.49 12.89 22.92 21.33 22.40 12.63 20.35 17.46 16.92 
#>  66.1   5.1 159.1    39   8.1 169.1   105   133   190    52    70   108  39.1 
#> 22.13 16.43 10.55 15.59 18.43 22.41 19.75 14.65 20.81 10.42  7.38 18.29 15.59 
#>    34    82   119     7    11   109     3   132     9    28   103    53 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    84    31     1   1.1   185   138    38 103.1    33   162    22    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    94    12   160   141   146   144    47   135  11.1    35    17  80.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118 103.2   182    98    64  34.1   121   148 146.1     2   122  35.1 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142  80.2  47.1   176   163    74    54 185.1    65   200    83    95  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1  12.1  31.1   126 109.1   174 160.1  11.2 162.1    48 138.1  94.1  82.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   172  34.2  11.3  48.1  74.1  64.1  33.1  35.2   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[30]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004758418               0.254106758               0.217381318 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.256820207            -0.006563578             0.016304434 
#>   grade_iii, Cure model 
#>             0.653511015 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 192   16.44      1  31        1         0
#> 187    9.92      1  39        1         0
#> 153   21.33      1  55        1         0
#> 39    15.59      1  37        0         1
#> 92    22.92      1  47        0         1
#> 63    22.77      1  31        1         0
#> 18    15.21      1  49        1         0
#> 29    15.45      1  68        1         0
#> 90    20.94      1  50        0         1
#> 23    16.92      1  61        0         0
#> 63.1  22.77      1  31        1         0
#> 139   21.49      1  63        1         0
#> 79    16.23      1  54        1         0
#> 128   20.35      1  35        0         1
#> 45    17.42      1  54        0         1
#> 85    16.44      1  36        0         0
#> 139.1 21.49      1  63        1         0
#> 10    10.53      1  34        0         0
#> 14    12.89      1  21        0         0
#> 39.1  15.59      1  37        0         1
#> 168   23.72      1  70        0         0
#> 66    22.13      1  53        0         0
#> 124    9.73      1  NA        1         0
#> 92.1  22.92      1  47        0         1
#> 51    18.23      1  83        0         1
#> 183    9.24      1  67        1         0
#> 13    14.34      1  54        0         1
#> 68    20.62      1  44        0         0
#> 23.1  16.92      1  61        0         0
#> 184   17.77      1  38        0         0
#> 133   14.65      1  57        0         0
#> 68.1  20.62      1  44        0         0
#> 5     16.43      1  51        0         1
#> 111   17.45      1  47        0         1
#> 124.1  9.73      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 15    22.68      1  48        0         0
#> 10.1  10.53      1  34        0         0
#> 124.2  9.73      1  NA        1         0
#> 111.1 17.45      1  47        0         1
#> 167   15.55      1  56        1         0
#> 199   19.81      1  NA        0         1
#> 155   13.08      1  26        0         0
#> 45.1  17.42      1  54        0         1
#> 68.2  20.62      1  44        0         0
#> 136   21.83      1  43        0         1
#> 93    10.33      1  52        0         1
#> 61    10.12      1  36        0         1
#> 136.1 21.83      1  43        0         1
#> 49    12.19      1  48        1         0
#> 36    21.19      1  48        0         1
#> 170   19.54      1  43        0         1
#> 159.1 10.55      1  50        0         1
#> 106   16.67      1  49        1         0
#> 4     17.64      1  NA        0         1
#> 181   16.46      1  45        0         1
#> 63.2  22.77      1  31        1         0
#> 155.1 13.08      1  26        0         0
#> 101    9.97      1  10        0         1
#> 18.1  15.21      1  49        1         0
#> 51.1  18.23      1  83        0         1
#> 8     18.43      1  32        0         0
#> 106.1 16.67      1  49        1         0
#> 136.2 21.83      1  43        0         1
#> 154   12.63      1  20        1         0
#> 4.1   17.64      1  NA        0         1
#> 88    18.37      1  47        0         0
#> 129   23.41      1  53        1         0
#> 90.1  20.94      1  50        0         1
#> 76    19.22      1  54        0         1
#> 190   20.81      1  42        1         0
#> 155.2 13.08      1  26        0         0
#> 26    15.77      1  49        0         1
#> 181.1 16.46      1  45        0         1
#> 51.2  18.23      1  83        0         1
#> 96    14.54      1  33        0         1
#> 24    23.89      1  38        0         0
#> 10.2  10.53      1  34        0         0
#> 15.1  22.68      1  48        0         0
#> 6     15.64      1  39        0         0
#> 60    13.15      1  38        1         0
#> 130   16.47      1  53        0         1
#> 32    20.90      1  37        1         0
#> 25     6.32      1  34        1         0
#> 13.1  14.34      1  54        0         1
#> 18.2  15.21      1  49        1         0
#> 56    12.21      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 32.1  20.90      1  37        1         0
#> 77     7.27      1  67        0         1
#> 113   22.86      1  34        0         0
#> 170.1 19.54      1  43        0         1
#> 18.3  15.21      1  49        1         0
#> 108   18.29      1  39        0         1
#> 194   22.40      1  38        0         1
#> 5.1   16.43      1  51        0         1
#> 39.2  15.59      1  37        0         1
#> 93.1  10.33      1  52        0         1
#> 39.3  15.59      1  37        0         1
#> 93.2  10.33      1  52        0         1
#> 158   20.14      1  74        1         0
#> 24.1  23.89      1  38        0         0
#> 8.1   18.43      1  32        0         0
#> 68.3  20.62      1  44        0         0
#> 150   20.33      1  48        0         0
#> 43    12.10      1  61        0         1
#> 92.2  22.92      1  47        0         1
#> 93.3  10.33      1  52        0         1
#> 86    23.81      1  58        0         1
#> 36.1  21.19      1  48        0         1
#> 92.3  22.92      1  47        0         1
#> 194.1 22.40      1  38        0         1
#> 115   24.00      0  NA        1         0
#> 17    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 64    24.00      0  43        0         0
#> 193   24.00      0  45        0         1
#> 31    24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 28    24.00      0  67        1         0
#> 135   24.00      0  58        1         0
#> 103   24.00      0  56        1         0
#> 46    24.00      0  71        0         0
#> 174   24.00      0  49        1         0
#> 144   24.00      0  28        0         1
#> 82    24.00      0  34        0         0
#> 185   24.00      0  44        1         0
#> 142.1 24.00      0  53        0         0
#> 119   24.00      0  17        0         0
#> 33    24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 162   24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 131   24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 141   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 119.1 24.00      0  17        0         0
#> 162.1 24.00      0  51        0         0
#> 103.1 24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 98    24.00      0  34        1         0
#> 31.1  24.00      0  36        0         1
#> 102   24.00      0  49        0         0
#> 193.1 24.00      0  45        0         1
#> 20    24.00      0  46        1         0
#> 94    24.00      0  51        0         1
#> 17.1  24.00      0  38        0         1
#> 73    24.00      0  NA        0         1
#> 126   24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 191   24.00      0  60        0         1
#> 120   24.00      0  68        0         1
#> 1     24.00      0  23        1         0
#> 19    24.00      0  57        0         1
#> 148.1 24.00      0  61        1         0
#> 137   24.00      0  45        1         0
#> 102.1 24.00      0  49        0         0
#> 47    24.00      0  38        0         1
#> 9     24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 17.2  24.00      0  38        0         1
#> 7.1   24.00      0  37        1         0
#> 165   24.00      0  47        0         0
#> 119.2 24.00      0  17        0         0
#> 147   24.00      0  76        1         0
#> 103.2 24.00      0  56        1         0
#> 131.1 24.00      0  66        0         0
#> 82.1  24.00      0  34        0         0
#> 38    24.00      0  31        1         0
#> 126.1 24.00      0  48        0         0
#> 102.2 24.00      0  49        0         0
#> 53    24.00      0  32        0         1
#> 22    24.00      0  52        1         0
#> 98.1  24.00      0  34        1         0
#> 109.1 24.00      0  48        0         0
#> 193.2 24.00      0  45        0         1
#> 112   24.00      0  61        0         0
#> 102.3 24.00      0  49        0         0
#> 198   24.00      0  66        0         1
#> 173   24.00      0  19        0         1
#> 118   24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 152   24.00      0  36        0         1
#> 95    24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 35    24.00      0  51        0         0
#> 95.1  24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 120.1 24.00      0  68        0         1
#> 146   24.00      0  63        1         0
#> 31.2  24.00      0  36        0         1
#> 148.2 24.00      0  61        1         0
#> 95.2  24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 17.3  24.00      0  38        0         1
#> 176.1 24.00      0  43        0         1
#> 38.1  24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.257          NA        NA      NA
#> 2 age, Cure model         -0.00656        NA        NA      NA
#> 3 grade_ii, Cure model     0.0163         NA        NA      NA
#> 4 grade_iii, Cure model    0.654          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00476        NA        NA      NA
#> 2 grade_ii, Survival model   0.254          NA        NA      NA
#> 3 grade_iii, Survival model  0.217          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.256820         -0.006564          0.016304          0.653511  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 259.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.256820207     -0.006563578      0.016304434      0.653511015 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004758418      0.254106758      0.217381318 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.553264810 0.960598066 0.207228312 0.621170962 0.051241546 0.092512946
#>   [7] 0.678736660 0.668990937 0.234625410 0.485647195 0.092512946 0.189131056
#>  [13] 0.591905119 0.315790998 0.466539537 0.553264810 0.189131056 0.872715921
#>  [19] 0.794461643 0.621170962 0.030121990 0.153425609 0.051241546 0.409635347
#>  [25] 0.970441447 0.736343226 0.280026332 0.485647195 0.437822443 0.716843193
#>  [31] 0.280026332 0.572576792 0.447462299 0.853182147 0.117620638 0.872715921
#>  [37] 0.447462299 0.659254734 0.765470674 0.466539537 0.280026332 0.162756898
#>  [43] 0.901998117 0.940878064 0.162756898 0.833552510 0.216486823 0.343926996
#>  [49] 0.853182147 0.504946224 0.533968033 0.092512946 0.765470674 0.950747526
#>  [55] 0.678736660 0.409635347 0.371893360 0.504946224 0.162756898 0.813953845
#>  [61] 0.390606907 0.040676479 0.234625410 0.362483660 0.270856297 0.765470674
#>  [67] 0.601649951 0.533968033 0.409635347 0.726597278 0.006198109 0.872715921
#>  [73] 0.117620638 0.611397259 0.755725932 0.524229746 0.252793240 0.990150287
#>  [79] 0.736343226 0.678736660 0.823738700 0.794461643 0.252793240 0.980291089
#>  [85] 0.082941596 0.343926996 0.678736660 0.400124777 0.135565348 0.572576792
#>  [91] 0.621170962 0.901998117 0.621170962 0.901998117 0.334513523 0.006198109
#>  [97] 0.371893360 0.280026332 0.325124734 0.843363314 0.051241546 0.901998117
#> [103] 0.020541424 0.216486823 0.051241546 0.135565348 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   192   187   153    39    92    63    18    29    90    23  63.1   139    79 
#> 16.44  9.92 21.33 15.59 22.92 22.77 15.21 15.45 20.94 16.92 22.77 21.49 16.23 
#>   128    45    85 139.1    10    14  39.1   168    66  92.1    51   183    13 
#> 20.35 17.42 16.44 21.49 10.53 12.89 15.59 23.72 22.13 22.92 18.23  9.24 14.34 
#>    68  23.1   184   133  68.1     5   111   159    15  10.1 111.1   167   155 
#> 20.62 16.92 17.77 14.65 20.62 16.43 17.45 10.55 22.68 10.53 17.45 15.55 13.08 
#>  45.1  68.2   136    93    61 136.1    49    36   170 159.1   106   181  63.2 
#> 17.42 20.62 21.83 10.33 10.12 21.83 12.19 21.19 19.54 10.55 16.67 16.46 22.77 
#> 155.1   101  18.1  51.1     8 106.1 136.2   154    88   129  90.1    76   190 
#> 13.08  9.97 15.21 18.23 18.43 16.67 21.83 12.63 18.37 23.41 20.94 19.22 20.81 
#> 155.2    26 181.1  51.2    96    24  10.2  15.1     6    60   130    32    25 
#> 13.08 15.77 16.46 18.23 14.54 23.89 10.53 22.68 15.64 13.15 16.47 20.90  6.32 
#>  13.1  18.2    56  14.1  32.1    77   113 170.1  18.3   108   194   5.1  39.2 
#> 14.34 15.21 12.21 12.89 20.90  7.27 22.86 19.54 15.21 18.29 22.40 16.43 15.59 
#>  93.1  39.3  93.2   158  24.1   8.1  68.3   150    43  92.2  93.3    86  36.1 
#> 10.33 15.59 10.33 20.14 23.89 18.43 20.62 20.33 12.10 22.92 10.33 23.81 21.19 
#>  92.3 194.1    17   142    75    64   193    31   109    28   135   103    46 
#> 22.92 22.40 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   144    82   185 142.1   119    33   148   162    74   131    12   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121 119.1 162.1 103.1   172    98  31.1   102 193.1    20    94  17.1   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7   191   120     1    19 148.1   137 102.1    47     9  33.1  17.2   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165 119.2   147 103.2 131.1  82.1    38 126.1 102.2    53    22  98.1 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.2   112 102.3   198   173   118    54   152    95    62    35  95.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1   146  31.2 148.2  95.2    83  17.3 176.1  38.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[31]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003155754               0.439576084               0.309005802 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.18393485              0.02065103              0.42914565 
#>   grade_iii, Cure model 
#>              0.89804467 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 96    14.54      1  33        0         1
#> 97    19.14      1  65        0         1
#> 18    15.21      1  49        1         0
#> 139   21.49      1  63        1         0
#> 123   13.00      1  44        1         0
#> 169   22.41      1  46        0         0
#> 25     6.32      1  34        1         0
#> 195   11.76      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 150   20.33      1  48        0         0
#> 134   17.81      1  47        1         0
#> 37    12.52      1  57        1         0
#> 107   11.18      1  54        1         0
#> 4     17.64      1  NA        0         1
#> 189   10.51      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 117   17.46      1  26        0         1
#> 69    23.23      1  25        0         1
#> 69.1  23.23      1  25        0         1
#> 130   16.47      1  53        0         1
#> 49    12.19      1  48        1         0
#> 197   21.60      1  69        1         0
#> 188   16.16      1  46        0         1
#> 25.1   6.32      1  34        1         0
#> 127    3.53      1  62        0         1
#> 157   15.10      1  47        0         0
#> 153   21.33      1  55        1         0
#> 197.1 21.60      1  69        1         0
#> 68    20.62      1  44        0         0
#> 13    14.34      1  54        0         1
#> 180   14.82      1  37        0         0
#> 183    9.24      1  67        1         0
#> 129   23.41      1  53        1         0
#> 63    22.77      1  31        1         0
#> 187    9.92      1  39        1         0
#> 180.1 14.82      1  37        0         0
#> 5     16.43      1  51        0         1
#> 130.1 16.47      1  53        0         1
#> 42    12.43      1  49        0         1
#> 37.1  12.52      1  57        1         0
#> 52    10.42      1  52        0         1
#> 5.1   16.43      1  51        0         1
#> 52.1  10.42      1  52        0         1
#> 88    18.37      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 189.1 10.51      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 183.1  9.24      1  67        1         0
#> 183.2  9.24      1  67        1         0
#> 140   12.68      1  59        1         0
#> 36    21.19      1  48        0         1
#> 14    12.89      1  21        0         0
#> 66    22.13      1  53        0         0
#> 76    19.22      1  54        0         1
#> 51    18.23      1  83        0         1
#> 114   13.68      1  NA        0         0
#> 117.1 17.46      1  26        0         1
#> 24    23.89      1  38        0         0
#> 55.1  19.34      1  69        0         1
#> 50    10.02      1  NA        1         0
#> 13.1  14.34      1  54        0         1
#> 8     18.43      1  32        0         0
#> 13.2  14.34      1  54        0         1
#> 13.3  14.34      1  54        0         1
#> 197.2 21.60      1  69        1         0
#> 184   17.77      1  38        0         0
#> 66.1  22.13      1  53        0         0
#> 14.1  12.89      1  21        0         0
#> 187.1  9.92      1  39        1         0
#> 68.1  20.62      1  44        0         0
#> 16     8.71      1  71        0         1
#> 134.1 17.81      1  47        1         0
#> 24.1  23.89      1  38        0         0
#> 158   20.14      1  74        1         0
#> 14.2  12.89      1  21        0         0
#> 18.1  15.21      1  49        1         0
#> 36.1  21.19      1  48        0         1
#> 123.1 13.00      1  44        1         0
#> 171   16.57      1  41        0         1
#> 63.1  22.77      1  31        1         0
#> 150.1 20.33      1  48        0         0
#> 85    16.44      1  36        0         0
#> 117.2 17.46      1  26        0         1
#> 36.2  21.19      1  48        0         1
#> 49.1  12.19      1  48        1         0
#> 97.1  19.14      1  65        0         1
#> 25.2   6.32      1  34        1         0
#> 155   13.08      1  26        0         0
#> 69.2  23.23      1  25        0         1
#> 108   18.29      1  39        0         1
#> 107.1 11.18      1  54        1         0
#> 167   15.55      1  56        1         0
#> 92    22.92      1  47        0         1
#> 106   16.67      1  49        1         0
#> 58    19.34      1  39        0         0
#> 99    21.19      1  38        0         1
#> 107.2 11.18      1  54        1         0
#> 85.1  16.44      1  36        0         0
#> 32    20.90      1  37        1         0
#> 111   17.45      1  47        0         1
#> 37.2  12.52      1  57        1         0
#> 105   19.75      1  60        0         0
#> 197.3 21.60      1  69        1         0
#> 134.2 17.81      1  47        1         0
#> 134.3 17.81      1  47        1         0
#> 45    17.42      1  54        0         1
#> 50.1  10.02      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 49.2  12.19      1  48        1         0
#> 61.1  10.12      1  36        0         1
#> 170.1 19.54      1  43        0         1
#> 172   24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 67    24.00      0  25        0         0
#> 53    24.00      0  32        0         1
#> 2     24.00      0   9        0         0
#> 126   24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 143   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 196   24.00      0  19        0         0
#> 162   24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 119   24.00      0  17        0         0
#> 64    24.00      0  43        0         0
#> 143.1 24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 48    24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 144   24.00      0  28        0         1
#> 115   24.00      0  NA        1         0
#> 19    24.00      0  57        0         1
#> 34    24.00      0  36        0         0
#> 122   24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 115.1 24.00      0  NA        1         0
#> 172.1 24.00      0  41        0         0
#> 102   24.00      0  49        0         0
#> 120.1 24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 27    24.00      0  63        1         0
#> 87    24.00      0  27        0         0
#> 119.1 24.00      0  17        0         0
#> 178   24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 3     24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 27.1  24.00      0  63        1         0
#> 135.1 24.00      0  58        1         0
#> 120.2 24.00      0  68        0         1
#> 141.1 24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 200   24.00      0  64        0         0
#> 38    24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 160.2 24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 193   24.00      0  45        0         1
#> 165   24.00      0  47        0         0
#> 143.2 24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 22    24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 176   24.00      0  43        0         1
#> 160.3 24.00      0  31        1         0
#> 1.1   24.00      0  23        1         0
#> 11.1  24.00      0  42        0         1
#> 34.1  24.00      0  36        0         0
#> 9     24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 82    24.00      0  34        0         0
#> 73    24.00      0  NA        0         1
#> 186   24.00      0  45        1         0
#> 193.1 24.00      0  45        0         1
#> 104.1 24.00      0  50        1         0
#> 17    24.00      0  38        0         1
#> 146.1 24.00      0  63        1         0
#> 200.1 24.00      0  64        0         0
#> 74.1  24.00      0  43        0         1
#> 176.1 24.00      0  43        0         1
#> 143.3 24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 143.4 24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 119.2 24.00      0  17        0         0
#> 160.4 24.00      0  31        1         0
#> 144.1 24.00      0  28        0         1
#> 118.1 24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 47.1  24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 33    24.00      0  53        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.18          NA        NA      NA
#> 2 age, Cure model           0.0207        NA        NA      NA
#> 3 grade_ii, Cure model      0.429         NA        NA      NA
#> 4 grade_iii, Cure model     0.898         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00316        NA        NA      NA
#> 2 grade_ii, Survival model   0.440          NA        NA      NA
#> 3 grade_iii, Survival model  0.309          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.18393           0.02065           0.42915           0.89804  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 249.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.18393485       0.02065103       0.42914565       0.89804467 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003155754      0.439576084      0.309005802 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.76223094 0.49906654 0.72572438 0.30898805 0.80467318 0.21835675
#>   [7] 0.97566100 0.46235602 0.40335570 0.55251325 0.84637304 0.89314774
#>  [13] 0.44326923 0.59347187 0.11988756 0.11988756 0.64955966 0.87337295
#>  [19] 0.26288194 0.70317112 0.97566100 0.99390552 0.74034009 0.32080431
#>  [25] 0.26288194 0.38310355 0.76950940 0.74767274 0.95087752 0.09388032
#>  [31] 0.18831871 0.93822346 0.74767274 0.68805716 0.64955966 0.86660657
#>  [37] 0.84637304 0.91256134 0.68805716 0.91256134 0.52590040 0.66501816
#>  [43] 0.92543918 0.95087752 0.95087752 0.83943054 0.33226348 0.81862640
#>  [49] 0.23376009 0.48983743 0.54374263 0.59347187 0.03866861 0.46235602
#>  [55] 0.76950940 0.51691460 0.76950940 0.76950940 0.26288194 0.58515107
#>  [61] 0.23376009 0.81862640 0.93822346 0.38310355 0.96945620 0.55251325
#>  [67] 0.03866861 0.42344313 0.81862640 0.72572438 0.33226348 0.80467318
#>  [73] 0.64166862 0.18831871 0.40335570 0.67274140 0.59347187 0.33226348
#>  [79] 0.87337295 0.49906654 0.97566100 0.79756916 0.11988756 0.53486172
#>  [85] 0.89314774 0.71825669 0.17055140 0.63372384 0.46235602 0.33226348
#>  [91] 0.89314774 0.67274140 0.37275756 0.61760709 0.84637304 0.43337981
#>  [97] 0.26288194 0.55251325 0.55251325 0.62569738 0.71072225 0.87337295
#> [103] 0.92543918 0.44326923 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    96    97    18   139   123   169    25    55   150   134    37   107   170 
#> 14.54 19.14 15.21 21.49 13.00 22.41  6.32 19.34 20.33 17.81 12.52 11.18 19.54 
#>   117    69  69.1   130    49   197   188  25.1   127   157   153 197.1    68 
#> 17.46 23.23 23.23 16.47 12.19 21.60 16.16  6.32  3.53 15.10 21.33 21.60 20.62 
#>    13   180   183   129    63   187 180.1     5 130.1    42  37.1    52   5.1 
#> 14.34 14.82  9.24 23.41 22.77  9.92 14.82 16.43 16.47 12.43 12.52 10.42 16.43 
#>  52.1    88   181    61 183.1 183.2   140    36    14    66    76    51 117.1 
#> 10.42 18.37 16.46 10.12  9.24  9.24 12.68 21.19 12.89 22.13 19.22 18.23 17.46 
#>    24  55.1  13.1     8  13.2  13.3 197.2   184  66.1  14.1 187.1  68.1    16 
#> 23.89 19.34 14.34 18.43 14.34 14.34 21.60 17.77 22.13 12.89  9.92 20.62  8.71 
#> 134.1  24.1   158  14.2  18.1  36.1 123.1   171  63.1 150.1    85 117.2  36.2 
#> 17.81 23.89 20.14 12.89 15.21 21.19 13.00 16.57 22.77 20.33 16.44 17.46 21.19 
#>  49.1  97.1  25.2   155  69.2   108 107.1   167    92   106    58    99 107.2 
#> 12.19 19.14  6.32 13.08 23.23 18.29 11.18 15.55 22.92 16.67 19.34 21.19 11.18 
#>  85.1    32   111  37.2   105 197.3 134.2 134.3    45   100  49.2  61.1 170.1 
#> 16.44 20.90 17.45 12.52 19.75 21.60 17.81 17.81 17.42 16.07 12.19 10.12 19.54 
#>   172    47    67    53     2   126    21   143    11   196   162 162.1   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   119    64 143.1   174    48   120   141    72   144    19    34   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74 172.1   102 120.1   116    27    87 119.1   178   146     3   3.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1 135.1 120.2 141.1   131   104   200    38 160.1 160.2   118     1   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165 143.2     7    22    83   176 160.3   1.1  11.1  34.1     9 102.1    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186 193.1 104.1    17 146.1 200.1  74.1 176.1 143.3    20 143.4    44 119.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.4 144.1 118.1   152  47.1    12    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[32]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01576332                0.56700078                0.14529805 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            0.0423282921           -0.0009973394           -0.2634291135 
#>   grade_iii, Cure model 
#>            0.8832327815 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 134   17.81      1  47        1         0
#> 8     18.43      1  32        0         0
#> 8.1   18.43      1  32        0         0
#> 86    23.81      1  58        0         1
#> 125   15.65      1  67        1         0
#> 97    19.14      1  65        0         1
#> 181   16.46      1  45        0         1
#> 39    15.59      1  37        0         1
#> 127    3.53      1  62        0         1
#> 91     5.33      1  61        0         1
#> 117   17.46      1  26        0         1
#> 92    22.92      1  47        0         1
#> 171   16.57      1  41        0         1
#> 15    22.68      1  48        0         0
#> 40    18.00      1  28        1         0
#> 88    18.37      1  47        0         0
#> 29    15.45      1  68        1         0
#> 90    20.94      1  50        0         1
#> 76    19.22      1  54        0         1
#> 58    19.34      1  39        0         0
#> 57    14.46      1  45        0         1
#> 113   22.86      1  34        0         0
#> 188   16.16      1  46        0         1
#> 14    12.89      1  21        0         0
#> 97.1  19.14      1  65        0         1
#> 26    15.77      1  49        0         1
#> 66    22.13      1  53        0         0
#> 68    20.62      1  44        0         0
#> 187    9.92      1  39        1         0
#> 100   16.07      1  60        0         0
#> 99    21.19      1  38        0         1
#> 43    12.10      1  61        0         1
#> 108   18.29      1  39        0         1
#> 106   16.67      1  49        1         0
#> 51    18.23      1  83        0         1
#> 96    14.54      1  33        0         1
#> 194   22.40      1  38        0         1
#> 150   20.33      1  48        0         0
#> 105   19.75      1  60        0         0
#> 110   17.56      1  65        0         1
#> 124    9.73      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 36    21.19      1  48        0         1
#> 184   17.77      1  38        0         0
#> 40.1  18.00      1  28        1         0
#> 106.1 16.67      1  49        1         0
#> 164   23.60      1  76        0         1
#> 16     8.71      1  71        0         1
#> 57.1  14.46      1  45        0         1
#> 197   21.60      1  69        1         0
#> 117.1 17.46      1  26        0         1
#> 169   22.41      1  46        0         0
#> 111   17.45      1  47        0         1
#> 113.1 22.86      1  34        0         0
#> 134.1 17.81      1  47        1         0
#> 58.1  19.34      1  39        0         0
#> 154   12.63      1  20        1         0
#> 59    10.16      1  NA        1         0
#> 40.2  18.00      1  28        1         0
#> 157   15.10      1  47        0         0
#> 194.1 22.40      1  38        0         1
#> 184.1 17.77      1  38        0         0
#> 85    16.44      1  36        0         0
#> 150.1 20.33      1  48        0         0
#> 14.1  12.89      1  21        0         0
#> 86.1  23.81      1  58        0         1
#> 187.1  9.92      1  39        1         0
#> 99.1  21.19      1  38        0         1
#> 150.2 20.33      1  48        0         0
#> 60    13.15      1  38        1         0
#> 6     15.64      1  39        0         0
#> 4     17.64      1  NA        0         1
#> 15.1  22.68      1  48        0         0
#> 158   20.14      1  74        1         0
#> 51.1  18.23      1  83        0         1
#> 101    9.97      1  10        0         1
#> 57.2  14.46      1  45        0         1
#> 4.1   17.64      1  NA        0         1
#> 32    20.90      1  37        1         0
#> 199   19.81      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 68.1  20.62      1  44        0         0
#> 140   12.68      1  59        1         0
#> 157.1 15.10      1  47        0         0
#> 32.1  20.90      1  37        1         0
#> 164.1 23.60      1  76        0         1
#> 86.2  23.81      1  58        0         1
#> 128   20.35      1  35        0         1
#> 180   14.82      1  37        0         0
#> 188.1 16.16      1  46        0         1
#> 14.2  12.89      1  21        0         0
#> 133   14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 70     7.38      1  30        1         0
#> 101.1  9.97      1  10        0         1
#> 124.1  9.73      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 177   12.53      1  75        0         0
#> 63    22.77      1  31        1         0
#> 187.2  9.92      1  39        1         0
#> 111.1 17.45      1  47        0         1
#> 52    10.42      1  52        0         1
#> 91.1   5.33      1  61        0         1
#> 124.2  9.73      1  NA        1         0
#> 90.1  20.94      1  50        0         1
#> 127.1  3.53      1  62        0         1
#> 157.2 15.10      1  47        0         0
#> 51.2  18.23      1  83        0         1
#> 154.1 12.63      1  20        1         0
#> 155   13.08      1  26        0         0
#> 149    8.37      1  33        1         0
#> 86.3  23.81      1  58        0         1
#> 73    24.00      0  NA        0         1
#> 72    24.00      0  40        0         1
#> 87    24.00      0  27        0         0
#> 156   24.00      0  50        1         0
#> 9     24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 95    24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 178   24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 200   24.00      0  64        0         0
#> 53    24.00      0  32        0         1
#> 46    24.00      0  71        0         0
#> 87.1  24.00      0  27        0         0
#> 7     24.00      0  37        1         0
#> 1     24.00      0  23        1         0
#> 34    24.00      0  36        0         0
#> 163   24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 2.1   24.00      0   9        0         0
#> 163.1 24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 116   24.00      0  58        0         1
#> 120   24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 9.1   24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 193   24.00      0  45        0         1
#> 143   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 84.1  24.00      0  39        0         1
#> 191   24.00      0  60        0         1
#> 156.1 24.00      0  50        1         0
#> 115.1 24.00      0  NA        1         0
#> 27.1  24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 75    24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 17    24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 120.1 24.00      0  68        0         1
#> 67.1  24.00      0  25        0         0
#> 120.2 24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 7.1   24.00      0  37        1         0
#> 182   24.00      0  35        0         0
#> 7.2   24.00      0  37        1         0
#> 151   24.00      0  42        0         0
#> 9.2   24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 67.2  24.00      0  25        0         0
#> 193.1 24.00      0  45        0         1
#> 38    24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 28    24.00      0  67        1         0
#> 73.1  24.00      0  NA        0         1
#> 46.1  24.00      0  71        0         0
#> 185.1 24.00      0  44        1         0
#> 103.2 24.00      0  56        1         0
#> 74    24.00      0  43        0         1
#> 120.3 24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 21.1  24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 53.1  24.00      0  32        0         1
#> 75.1  24.00      0  21        1         0
#> 28.1  24.00      0  67        1         0
#> 12    24.00      0  63        0         0
#> 17.1  24.00      0  38        0         1
#> 19    24.00      0  57        0         1
#> 132   24.00      0  55        0         0
#> 196.1 24.00      0  19        0         0
#> 109   24.00      0  48        0         0
#> 121.1 24.00      0  57        1         0
#> 87.2  24.00      0  27        0         0
#> 20    24.00      0  46        1         0
#> 35    24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 146.1 24.00      0  63        1         0
#> 38.1  24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 65    24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 34.1  24.00      0  36        0         0
#> 102   24.00      0  49        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0423          NA        NA      NA
#> 2 age, Cure model         -0.000997        NA        NA      NA
#> 3 grade_ii, Cure model    -0.263           NA        NA      NA
#> 4 grade_iii, Cure model    0.883           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0158        NA        NA      NA
#> 2 grade_ii, Survival model    0.567         NA        NA      NA
#> 3 grade_iii, Survival model   0.145         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        0.0423283        -0.0009973        -0.2634291         0.8832328  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    259.7 
#> Residual Deviance: 249.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     0.0423282921    -0.0009973394    -0.2634291135     0.8832327815 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01576332       0.56700078       0.14529805 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.879913e-01 1.936293e-01 1.936293e-01 7.081412e-04 4.968442e-01
#>   [6] 1.766192e-01 4.259194e-01 5.216638e-01 9.695916e-01 9.397125e-01
#>  [11] 3.387334e-01 1.007050e-02 4.033391e-01 2.255276e-02 2.591214e-01
#>  [16] 2.112533e-01 5.342498e-01 7.366879e-02 1.683756e-01 1.526716e-01
#>  [21] 6.259032e-01 1.297790e-02 4.490500e-01 6.948455e-01 1.766192e-01
#>  [26] 4.846213e-01 4.263039e-02 9.747722e-02 8.519479e-01 4.725404e-01
#>  [31] 5.774217e-02 7.937082e-01 2.204626e-01 3.814602e-01 2.298184e-01
#>  [36] 6.123362e-01 3.403997e-02 1.168486e-01 1.449804e-01 3.281800e-01
#>  [41] 3.852039e-03 5.774217e-02 3.077900e-01 2.591214e-01 3.814602e-01
#>  [46] 5.583859e-03 8.952674e-01 6.259032e-01 5.249788e-02 3.387334e-01
#>  [51] 2.985199e-02 3.598121e-01 1.297790e-02 2.879913e-01 1.526716e-01
#>  [56] 7.511952e-01 2.591214e-01 5.469545e-01 3.403997e-02 3.077900e-01
#>  [61] 4.374185e-01 1.168486e-01 6.948455e-01 7.081412e-04 8.519479e-01
#>  [66] 5.774217e-02 1.168486e-01 6.668523e-01 5.091845e-01 2.255276e-02
#>  [71] 1.375309e-01 2.298184e-01 8.228876e-01 6.259032e-01 8.555834e-02
#>  [76] 4.145526e-01 9.747722e-02 7.368383e-01 5.469545e-01 8.555834e-02
#>  [81] 5.583859e-03 7.081412e-04 1.101737e-01 5.855661e-01 4.490500e-01
#>  [86] 6.948455e-01 5.988624e-01 9.879613e-05 9.249169e-01 8.228876e-01
#>  [91] 4.745816e-02 7.793299e-01 1.919058e-02 8.519479e-01 3.598121e-01
#>  [96] 8.082333e-01 9.397125e-01 7.366879e-02 9.695916e-01 5.469545e-01
#> [101] 2.298184e-01 7.511952e-01 6.808006e-01 9.100979e-01 7.081412e-04
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   134     8   8.1    86   125    97   181    39   127    91   117    92   171 
#> 17.81 18.43 18.43 23.81 15.65 19.14 16.46 15.59  3.53  5.33 17.46 22.92 16.57 
#>    15    40    88    29    90    76    58    57   113   188    14  97.1    26 
#> 22.68 18.00 18.37 15.45 20.94 19.22 19.34 14.46 22.86 16.16 12.89 19.14 15.77 
#>    66    68   187   100    99    43   108   106    51    96   194   150   105 
#> 22.13 20.62  9.92 16.07 21.19 12.10 18.29 16.67 18.23 14.54 22.40 20.33 19.75 
#>   110   168    36   184  40.1 106.1   164    16  57.1   197 117.1   169   111 
#> 17.56 23.72 21.19 17.77 18.00 16.67 23.60  8.71 14.46 21.60 17.46 22.41 17.45 
#> 113.1 134.1  58.1   154  40.2   157 194.1 184.1    85 150.1  14.1  86.1 187.1 
#> 22.86 17.81 19.34 12.63 18.00 15.10 22.40 17.77 16.44 20.33 12.89 23.81  9.92 
#>  99.1 150.2    60     6  15.1   158  51.1   101  57.2    32   130  68.1   140 
#> 21.19 20.33 13.15 15.64 22.68 20.14 18.23  9.97 14.46 20.90 16.47 20.62 12.68 
#> 157.1  32.1 164.1  86.2   128   180 188.1  14.2   133    78    70 101.1   136 
#> 15.10 20.90 23.60 23.81 20.35 14.82 16.16 12.89 14.65 23.88  7.38  9.97 21.83 
#>   177    63 187.2 111.1    52  91.1  90.1 127.1 157.2  51.2 154.1   155   149 
#> 12.53 22.77  9.92 17.45 10.42  5.33 20.94  3.53 15.10 18.23 12.63 13.08  8.37 
#>  86.3    72    87   156     9    84    95     2   178   112   200    53    46 
#> 23.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1     7     1    34   163   2.1 163.1   121    94   116   120    67   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   193   143    27  84.1   191 156.1  27.1   144    75   103    17   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1 120.1  67.1 120.2    83   7.1   182   7.2   151   9.2   196  67.2 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38    64    28  46.1 185.1 103.2    74 120.3    71   146  21.1   122  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1  28.1    12  17.1    19   132 196.1   109 121.1  87.2    20    35   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.1  38.1    80    65    54  34.1   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[33]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008366113               0.452008919               0.461424913 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.06626012              0.02207919              0.07907193 
#>   grade_iii, Cure model 
#>              0.53833615 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 108   18.29      1  39        0         1
#> 61    10.12      1  36        0         1
#> 167   15.55      1  56        1         0
#> 88    18.37      1  47        0         0
#> 26    15.77      1  49        0         1
#> 6     15.64      1  39        0         0
#> 164   23.60      1  76        0         1
#> 113   22.86      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 188   16.16      1  46        0         1
#> 187    9.92      1  39        1         0
#> 159   10.55      1  50        0         1
#> 78    23.88      1  43        0         0
#> 189   10.51      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 106   16.67      1  49        1         0
#> 60    13.15      1  38        1         0
#> 69    23.23      1  25        0         1
#> 145   10.07      1  65        1         0
#> 81    14.06      1  34        0         0
#> 190   20.81      1  42        1         0
#> 61.1  10.12      1  36        0         1
#> 76    19.22      1  54        0         1
#> 192   16.44      1  31        1         0
#> 110   17.56      1  65        0         1
#> 168   23.72      1  70        0         0
#> 39    15.59      1  37        0         1
#> 81.1  14.06      1  34        0         0
#> 133   14.65      1  57        0         0
#> 52    10.42      1  52        0         1
#> 168.1 23.72      1  70        0         0
#> 63    22.77      1  31        1         0
#> 117   17.46      1  26        0         1
#> 158   20.14      1  74        1         0
#> 171   16.57      1  41        0         1
#> 5     16.43      1  51        0         1
#> 52.1  10.42      1  52        0         1
#> 6.1   15.64      1  39        0         0
#> 105   19.75      1  60        0         0
#> 61.2  10.12      1  36        0         1
#> 189.1 10.51      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 181   16.46      1  45        0         1
#> 26.1  15.77      1  49        0         1
#> 68    20.62      1  44        0         0
#> 78.1  23.88      1  43        0         0
#> 93    10.33      1  52        0         1
#> 51    18.23      1  83        0         1
#> 79    16.23      1  54        1         0
#> 10    10.53      1  34        0         0
#> 123   13.00      1  44        1         0
#> 197   21.60      1  69        1         0
#> 114   13.68      1  NA        0         0
#> 88.1  18.37      1  47        0         0
#> 170   19.54      1  43        0         1
#> 150   20.33      1  48        0         0
#> 164.1 23.60      1  76        0         1
#> 99    21.19      1  38        0         1
#> 183    9.24      1  67        1         0
#> 199   19.81      1  NA        0         1
#> 79.1  16.23      1  54        1         0
#> 32.1  20.90      1  37        1         0
#> 134   17.81      1  47        1         0
#> 179   18.63      1  42        0         0
#> 57    14.46      1  45        0         1
#> 26.2  15.77      1  49        0         1
#> 8     18.43      1  32        0         0
#> 177   12.53      1  75        0         0
#> 167.1 15.55      1  56        1         0
#> 130   16.47      1  53        0         1
#> 61.3  10.12      1  36        0         1
#> 58    19.34      1  39        0         0
#> 192.1 16.44      1  31        1         0
#> 23    16.92      1  61        0         0
#> 42    12.43      1  49        0         1
#> 123.1 13.00      1  44        1         0
#> 70     7.38      1  30        1         0
#> 155   13.08      1  26        0         0
#> 13    14.34      1  54        0         1
#> 26.3  15.77      1  49        0         1
#> 140   12.68      1  59        1         0
#> 114.1 13.68      1  NA        0         0
#> 113.1 22.86      1  34        0         0
#> 123.2 13.00      1  44        1         0
#> 86    23.81      1  58        0         1
#> 60.1  13.15      1  38        1         0
#> 124    9.73      1  NA        1         0
#> 114.2 13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 51.1  18.23      1  83        0         1
#> 29    15.45      1  68        1         0
#> 129   23.41      1  53        1         0
#> 184   17.77      1  38        0         0
#> 155.1 13.08      1  26        0         0
#> 110.1 17.56      1  65        0         1
#> 63.1  22.77      1  31        1         0
#> 43    12.10      1  61        0         1
#> 189.2 10.51      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 68.1  20.62      1  44        0         0
#> 50    10.02      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 157.1 15.10      1  47        0         0
#> 114.3 13.68      1  NA        0         0
#> 105.1 19.75      1  60        0         0
#> 37    12.52      1  57        1         0
#> 130.1 16.47      1  53        0         1
#> 133.1 14.65      1  57        0         0
#> 158.1 20.14      1  74        1         0
#> 194   22.40      1  38        0         1
#> 45    17.42      1  54        0         1
#> 65    24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 71    24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 178   24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 119   24.00      0  17        0         0
#> 3     24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 109   24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 162   24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 196   24.00      0  19        0         0
#> 17    24.00      0  38        0         1
#> 67    24.00      0  25        0         0
#> 109.1 24.00      0  48        0         0
#> 143   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 83    24.00      0   6        0         0
#> 103.1 24.00      0  56        1         0
#> 75.1  24.00      0  21        1         0
#> 84    24.00      0  39        0         1
#> 94.1  24.00      0  51        0         1
#> 156   24.00      0  50        1         0
#> 44    24.00      0  56        0         0
#> 34    24.00      0  36        0         0
#> 73    24.00      0  NA        0         1
#> 94.2  24.00      0  51        0         1
#> 75.2  24.00      0  21        1         0
#> 122   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 48    24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 138   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 95.1  24.00      0  68        0         1
#> 19.1  24.00      0  57        0         1
#> 144   24.00      0  28        0         1
#> 126   24.00      0  48        0         0
#> 151.1 24.00      0  42        0         0
#> 53.1  24.00      0  32        0         1
#> 196.1 24.00      0  19        0         0
#> 178.1 24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 200   24.00      0  64        0         0
#> 151.2 24.00      0  42        0         0
#> 33    24.00      0  53        0         0
#> 132   24.00      0  55        0         0
#> 80    24.00      0  41        0         0
#> 178.2 24.00      0  52        1         0
#> 120   24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 121   24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 34.1  24.00      0  36        0         0
#> 115   24.00      0  NA        1         0
#> 161   24.00      0  45        0         0
#> 102   24.00      0  49        0         0
#> 1.1   24.00      0  23        1         0
#> 160   24.00      0  31        1         0
#> 74.1  24.00      0  43        0         1
#> 84.1  24.00      0  39        0         1
#> 87.1  24.00      0  27        0         0
#> 162.1 24.00      0  51        0         0
#> 71.1  24.00      0  51        0         0
#> 151.3 24.00      0  42        0         0
#> 62    24.00      0  71        0         0
#> 109.2 24.00      0  48        0         0
#> 144.1 24.00      0  28        0         1
#> 22.1  24.00      0  52        1         0
#> 48.1  24.00      0  31        1         0
#> 65.1  24.00      0  57        1         0
#> 143.1 24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 65.2  24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 121.1 24.00      0  57        1         0
#> 109.3 24.00      0  48        0         0
#> 2     24.00      0   9        0         0
#> 20    24.00      0  46        1         0
#> 94.3  24.00      0  51        0         1
#> 191.1 24.00      0  60        0         1
#> 186   24.00      0  45        1         0
#> 95.2  24.00      0  68        0         1
#> 34.2  24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.07          NA        NA      NA
#> 2 age, Cure model           0.0221        NA        NA      NA
#> 3 grade_ii, Cure model      0.0791        NA        NA      NA
#> 4 grade_iii, Cure model     0.538         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00837        NA        NA      NA
#> 2 grade_ii, Survival model   0.452          NA        NA      NA
#> 3 grade_iii, Survival model  0.461          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.06626           0.02208           0.07907           0.53834  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 249.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.06626012       0.02207919       0.07907193       0.53833615 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008366113      0.452008919      0.461424913 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.31776074 0.91515766 0.61739694 0.29742538 0.54593565 0.58625519
#>   [7] 0.03689593 0.07305890 0.15518042 0.52518862 0.96793225 0.86133244
#>  [13] 0.00325377 0.13652730 0.42160309 0.73327354 0.06389489 0.95722661
#>  [19] 0.71195767 0.17287499 0.91515766 0.26734236 0.47383132 0.36943573
#>  [25] 0.02078700 0.60697600 0.71195767 0.66945159 0.88290599 0.02078700
#>  [31] 0.09131630 0.39018514 0.20952110 0.43213489 0.49433812 0.88290599
#>  [37] 0.58625519 0.22823868 0.91515766 0.46336730 0.54593565 0.18191089
#>  [43] 0.00325377 0.90436645 0.32804814 0.50469246 0.87210270 0.77584570
#>  [49] 0.12716032 0.29742538 0.24758290 0.20007682 0.03689593 0.14589974
#>  [55] 0.97862206 0.50469246 0.15518042 0.34856384 0.27727135 0.69063751
#>  [61] 0.54593565 0.28730684 0.81823605 0.61739694 0.44263455 0.91515766
#>  [67] 0.25740983 0.47383132 0.41105998 0.83978657 0.77584570 0.98932388
#>  [73] 0.75450091 0.70129837 0.54593565 0.80752823 0.07305890 0.77584570
#>  [79] 0.01363684 0.73327354 0.11787413 0.32804814 0.63807431 0.05434087
#>  [85] 0.35895847 0.75450091 0.36943573 0.09131630 0.85055625 0.53552248
#>  [91] 0.18191089 0.64851697 0.64851697 0.22823868 0.82900959 0.44263455
#>  [97] 0.66945159 0.20952110 0.10884299 0.40062387 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   108    61   167    88    26     6   164   113    32   188   187   159    78 
#> 18.29 10.12 15.55 18.37 15.77 15.64 23.60 22.86 20.90 16.16  9.92 10.55 23.88 
#>   153   106    60    69   145    81   190  61.1    76   192   110   168    39 
#> 21.33 16.67 13.15 23.23 10.07 14.06 20.81 10.12 19.22 16.44 17.56 23.72 15.59 
#>  81.1   133    52 168.1    63   117   158   171     5  52.1   6.1   105  61.2 
#> 14.06 14.65 10.42 23.72 22.77 17.46 20.14 16.57 16.43 10.42 15.64 19.75 10.12 
#>   181  26.1    68  78.1    93    51    79    10   123   197  88.1   170   150 
#> 16.46 15.77 20.62 23.88 10.33 18.23 16.23 10.53 13.00 21.60 18.37 19.54 20.33 
#> 164.1    99   183  79.1  32.1   134   179    57  26.2     8   177 167.1   130 
#> 23.60 21.19  9.24 16.23 20.90 17.81 18.63 14.46 15.77 18.43 12.53 15.55 16.47 
#>  61.3    58 192.1    23    42 123.1    70   155    13  26.3   140 113.1 123.2 
#> 10.12 19.34 16.44 16.92 12.43 13.00  7.38 13.08 14.34 15.77 12.68 22.86 13.00 
#>    86  60.1    66  51.1    29   129   184 155.1 110.1  63.1    43   100  68.1 
#> 23.81 13.15 22.13 18.23 15.45 23.41 17.77 13.08 17.56 22.77 12.10 16.07 20.62 
#>   157 157.1 105.1    37 130.1 133.1 158.1   194    45    65    53    71   103 
#> 15.10 15.10 19.75 12.52 16.47 14.65 20.14 22.40 17.42 24.00 24.00 24.00 24.00 
#>   178    94   119     3    74   109    95   162    87   196    17    67 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143    22    75    83 103.1  75.1    84  94.1   156    44    34  94.2  75.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    19    48     9   135   138   151  95.1  19.1   144   126 151.1  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1 178.1   191   200 151.2    33   132    80 178.2   120   173   121     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1   161   102   1.1   160  74.1  84.1  87.1 162.1  71.1 151.3    62 109.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1  22.1  48.1  65.1 143.1    38  65.2   148 121.1 109.3     2    20  94.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1   186  95.2  34.2 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[34]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01055229                0.56666263                0.28285822 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.68319162              0.01980269              0.59311247 
#>   grade_iii, Cure model 
#>              2.34165806 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 189   10.51      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 5     16.43      1  51        0         1
#> 150   20.33      1  48        0         0
#> 70     7.38      1  30        1         0
#> 110   17.56      1  65        0         1
#> 189.1 10.51      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 37    12.52      1  57        1         0
#> 55    19.34      1  69        0         1
#> 100   16.07      1  60        0         0
#> 117   17.46      1  26        0         1
#> 56    12.21      1  60        0         0
#> 130   16.47      1  53        0         1
#> 192   16.44      1  31        1         0
#> 180   14.82      1  37        0         0
#> 197   21.60      1  69        1         0
#> 183    9.24      1  67        1         0
#> 36    21.19      1  48        0         1
#> 105   19.75      1  60        0         0
#> 55.1  19.34      1  69        0         1
#> 101    9.97      1  10        0         1
#> 37.1  12.52      1  57        1         0
#> 167   15.55      1  56        1         0
#> 36.1  21.19      1  48        0         1
#> 90.1  20.94      1  50        0         1
#> 70.1   7.38      1  30        1         0
#> 77     7.27      1  67        0         1
#> 140   12.68      1  59        1         0
#> 70.2   7.38      1  30        1         0
#> 153   21.33      1  55        1         0
#> 55.2  19.34      1  69        0         1
#> 140.1 12.68      1  59        1         0
#> 86    23.81      1  58        0         1
#> 50    10.02      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 37.2  12.52      1  57        1         0
#> 159   10.55      1  50        0         1
#> 197.1 21.60      1  69        1         0
#> 167.1 15.55      1  56        1         0
#> 171   16.57      1  41        0         1
#> 60    13.15      1  38        1         0
#> 69    23.23      1  25        0         1
#> 60.1  13.15      1  38        1         0
#> 63    22.77      1  31        1         0
#> 123   13.00      1  44        1         0
#> 117.1 17.46      1  26        0         1
#> 77.1   7.27      1  67        0         1
#> 52    10.42      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 77.2   7.27      1  67        0         1
#> 105.1 19.75      1  60        0         0
#> 23    16.92      1  61        0         0
#> 197.2 21.60      1  69        1         0
#> 194   22.40      1  38        0         1
#> 68    20.62      1  44        0         0
#> 93    10.33      1  52        0         1
#> 164   23.60      1  76        0         1
#> 181   16.46      1  45        0         1
#> 194.1 22.40      1  38        0         1
#> 96    14.54      1  33        0         1
#> 96.1  14.54      1  33        0         1
#> 139   21.49      1  63        1         0
#> 63.1  22.77      1  31        1         0
#> 130.1 16.47      1  53        0         1
#> 110.1 17.56      1  65        0         1
#> 93.1  10.33      1  52        0         1
#> 26    15.77      1  49        0         1
#> 167.2 15.55      1  56        1         0
#> 113   22.86      1  34        0         0
#> 52.1  10.42      1  52        0         1
#> 114   13.68      1  NA        0         0
#> 159.1 10.55      1  50        0         1
#> 114.1 13.68      1  NA        0         0
#> 124.1  9.73      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 164.1 23.60      1  76        0         1
#> 187    9.92      1  39        1         0
#> 181.1 16.46      1  45        0         1
#> 78    23.88      1  43        0         0
#> 183.1  9.24      1  67        1         0
#> 181.2 16.46      1  45        0         1
#> 8     18.43      1  32        0         0
#> 106   16.67      1  49        1         0
#> 50.1  10.02      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 199.1 19.81      1  NA        0         1
#> 43    12.10      1  61        0         1
#> 88    18.37      1  47        0         0
#> 66    22.13      1  53        0         0
#> 77.3   7.27      1  67        0         1
#> 58    19.34      1  39        0         0
#> 4     17.64      1  NA        0         1
#> 108   18.29      1  39        0         1
#> 52.2  10.42      1  52        0         1
#> 164.2 23.60      1  76        0         1
#> 154   12.63      1  20        1         0
#> 155   13.08      1  26        0         0
#> 159.2 10.55      1  50        0         1
#> 36.2  21.19      1  48        0         1
#> 61    10.12      1  36        0         1
#> 50.2  10.02      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 175   21.91      1  43        0         0
#> 8.1   18.43      1  32        0         0
#> 50.3  10.02      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 133.1 14.65      1  57        0         0
#> 68.1  20.62      1  44        0         0
#> 42    12.43      1  49        0         1
#> 164.3 23.60      1  76        0         1
#> 39    15.59      1  37        0         1
#> 22    24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 142   24.00      0  53        0         0
#> 34    24.00      0  36        0         0
#> 174   24.00      0  49        1         0
#> 38    24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 185   24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 196   24.00      0  19        0         0
#> 174.1 24.00      0  49        1         0
#> 146   24.00      0  63        1         0
#> 141   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 46    24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 126   24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 200.1 24.00      0  64        0         0
#> 72    24.00      0  40        0         1
#> 67    24.00      0  25        0         0
#> 191   24.00      0  60        0         1
#> 2     24.00      0   9        0         0
#> 65    24.00      0  57        1         0
#> 146.1 24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 137   24.00      0  45        1         0
#> 38.1  24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 143   24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 34.1  24.00      0  36        0         0
#> 132   24.00      0  55        0         0
#> 156   24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 82    24.00      0  34        0         0
#> 138   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 22.1  24.00      0  52        1         0
#> 82.1  24.00      0  34        0         0
#> 126.1 24.00      0  48        0         0
#> 44    24.00      0  56        0         0
#> 165   24.00      0  47        0         0
#> 200.2 24.00      0  64        0         0
#> 12.1  24.00      0  63        0         0
#> 38.2  24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 12.2  24.00      0  63        0         0
#> 38.3  24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 146.2 24.00      0  63        1         0
#> 131   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 142.1 24.00      0  53        0         0
#> 103.1 24.00      0  56        1         0
#> 21    24.00      0  47        0         0
#> 82.2  24.00      0  34        0         0
#> 103.2 24.00      0  56        1         0
#> 119.1 24.00      0  17        0         0
#> 67.1  24.00      0  25        0         0
#> 185.1 24.00      0  44        1         0
#> 131.1 24.00      0  66        0         0
#> 1.1   24.00      0  23        1         0
#> 84    24.00      0  39        0         1
#> 142.2 24.00      0  53        0         0
#> 2.1   24.00      0   9        0         0
#> 176   24.00      0  43        0         1
#> 144.1 24.00      0  28        0         1
#> 200.3 24.00      0  64        0         0
#> 182.1 24.00      0  35        0         0
#> 80    24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 152   24.00      0  36        0         1
#> 1.2   24.00      0  23        1         0
#> 71    24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 48.1  24.00      0  31        1         0
#> 146.3 24.00      0  63        1         0
#> 142.3 24.00      0  53        0         0
#> 119.2 24.00      0  17        0         0
#> 33.1  24.00      0  53        0         0
#> 118   24.00      0  44        1         0
#> 21.1  24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 46.1  24.00      0  71        0         0
#> 178   24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.68          NA        NA      NA
#> 2 age, Cure model           0.0198        NA        NA      NA
#> 3 grade_ii, Cure model      0.593         NA        NA      NA
#> 4 grade_iii, Cure model     2.34          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0106        NA        NA      NA
#> 2 grade_ii, Survival model    0.567         NA        NA      NA
#> 3 grade_iii, Survival model   0.283         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.6832            0.0198            0.5931            2.3417  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.6 
#> Residual Deviance: 217.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.68319162       0.01980269       0.59311247       2.34165806 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01055229       0.56666263       0.28285822 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.455374000 0.198492526 0.905329370 0.316049242 0.163828580 0.682482261
#>   [7] 0.226422218 0.466443134 0.337010654 0.728061561 0.390328186 0.444365172
#>  [13] 0.533283226 0.099729554 0.881470120 0.139504327 0.207684239 0.226422218
#>  [19] 0.857504946 0.682482261 0.500160949 0.139504327 0.163828580 0.905329370
#>  [25] 0.940489302 0.647974585 0.905329370 0.131186516 0.226422218 0.647974585
#>  [31] 0.005324833 0.305622312 0.682482261 0.751415353 0.099729554 0.500160949
#>  [37] 0.379516113 0.590498853 0.032507968 0.590498853 0.048193371 0.624858840
#>  [43] 0.337010654 0.940489302 0.786334666 0.940489302 0.207684239 0.357961368
#>  [49] 0.099729554 0.061893043 0.180851780 0.821619987 0.011139745 0.411938182
#>  [55] 0.061893043 0.567539267 0.567539267 0.122876057 0.048193371 0.390328186
#>  [61] 0.316049242 0.821619987 0.477636880 0.500160949 0.040118053 0.786334666
#>  [67] 0.751415353 0.544638421 0.011139745 0.869501386 0.411938182 0.001103161
#>  [73] 0.881470120 0.411938182 0.264493634 0.368746737 0.636395849 0.739710539
#>  [79] 0.284702074 0.075951182 0.940489302 0.226422218 0.295139795 0.786334666
#>  [85] 0.011139745 0.670969532 0.613298832 0.751415353 0.139504327 0.845475857
#>  [91] 0.091639900 0.083661267 0.264493634 0.987886509 0.544638421 0.180851780
#>  [97] 0.716499362 0.011139745 0.488885679 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>     5   150    70   110    90    37    55   100   117    56   130   192   180 
#> 16.43 20.33  7.38 17.56 20.94 12.52 19.34 16.07 17.46 12.21 16.47 16.44 14.82 
#>   197   183    36   105  55.1   101  37.1   167  36.1  90.1  70.1    77   140 
#> 21.60  9.24 21.19 19.75 19.34  9.97 12.52 15.55 21.19 20.94  7.38  7.27 12.68 
#>  70.2   153  55.2 140.1    86    41  37.2   159 197.1 167.1   171    60    69 
#>  7.38 21.33 19.34 12.68 23.81 18.02 12.52 10.55 21.60 15.55 16.57 13.15 23.23 
#>  60.1    63   123 117.1  77.1    52  77.2 105.1    23 197.2   194    68    93 
#> 13.15 22.77 13.00 17.46  7.27 10.42  7.27 19.75 16.92 21.60 22.40 20.62 10.33 
#>   164   181 194.1    96  96.1   139  63.1 130.1 110.1  93.1    26 167.2   113 
#> 23.60 16.46 22.40 14.54 14.54 21.49 22.77 16.47 17.56 10.33 15.77 15.55 22.86 
#>  52.1 159.1   133 164.1   187 181.1    78 183.1 181.2     8   106    14    43 
#> 10.42 10.55 14.65 23.60  9.92 16.46 23.88  9.24 16.46 18.43 16.67 12.89 12.10 
#>    88    66  77.3    58   108  52.2 164.2   154   155 159.2  36.2    61   136 
#> 18.37 22.13  7.27 19.34 18.29 10.42 23.60 12.63 13.08 10.55 21.19 10.12 21.83 
#>   175   8.1    91 133.1  68.1    42 164.3    39    22    33   103   142    34 
#> 21.91 18.43  5.33 14.65 20.62 12.43 23.60 15.59 24.00 24.00 24.00 24.00 24.00 
#>   174    38   121   185   193   196 174.1   146   141   161    46   200   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12 200.1    72    67   191     2    65 146.1   144   137  38.1   119   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20  34.1   132   156     7    82   138    48  22.1  82.1 126.1    44   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.2  12.1  38.2     1  12.2  38.3   182 146.2   131    98 142.1 103.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.2 103.2 119.1  67.1 185.1 131.1   1.1    84 142.2   2.1   176 144.1 200.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1    80    11   152   1.2    71 143.1  48.1 146.3 142.3 119.2  33.1   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1   109  46.1   178 176.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[35]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001897636               0.168587304               0.181698572 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.500056830            -0.008536272            -0.150535446 
#>   grade_iii, Cure model 
#>             0.402582541 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 36    21.19      1  48        0         1
#> 59    10.16      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 58    19.34      1  39        0         0
#> 155   13.08      1  26        0         0
#> 134   17.81      1  47        1         0
#> 18    15.21      1  49        1         0
#> 93    10.33      1  52        0         1
#> 76    19.22      1  54        0         1
#> 190   20.81      1  42        1         0
#> 111   17.45      1  47        0         1
#> 93.1  10.33      1  52        0         1
#> 63    22.77      1  31        1         0
#> 99    21.19      1  38        0         1
#> 180   14.82      1  37        0         0
#> 78    23.88      1  43        0         0
#> 81    14.06      1  34        0         0
#> 30    17.43      1  78        0         0
#> 190.1 20.81      1  42        1         0
#> 149    8.37      1  33        1         0
#> 77     7.27      1  67        0         1
#> 190.2 20.81      1  42        1         0
#> 30.1  17.43      1  78        0         0
#> 89    11.44      1  NA        0         0
#> 93.2  10.33      1  52        0         1
#> 159   10.55      1  50        0         1
#> 108   18.29      1  39        0         1
#> 60    13.15      1  38        1         0
#> 52    10.42      1  52        0         1
#> 51    18.23      1  83        0         1
#> 23    16.92      1  61        0         0
#> 14    12.89      1  21        0         0
#> 42    12.43      1  49        0         1
#> 68    20.62      1  44        0         0
#> 153   21.33      1  55        1         0
#> 69    23.23      1  25        0         1
#> 76.1  19.22      1  54        0         1
#> 139   21.49      1  63        1         0
#> 45    17.42      1  54        0         1
#> 49    12.19      1  48        1         0
#> 133   14.65      1  57        0         0
#> 59.1  10.16      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 183    9.24      1  67        1         0
#> 39    15.59      1  37        0         1
#> 97    19.14      1  65        0         1
#> 29    15.45      1  68        1         0
#> 61    10.12      1  36        0         1
#> 197   21.60      1  69        1         0
#> 192   16.44      1  31        1         0
#> 170   19.54      1  43        0         1
#> 110   17.56      1  65        0         1
#> 192.1 16.44      1  31        1         0
#> 41    18.02      1  40        1         0
#> 199   19.81      1  NA        0         1
#> 23.1  16.92      1  61        0         0
#> 26    15.77      1  49        0         1
#> 130   16.47      1  53        0         1
#> 59.2  10.16      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 77.1   7.27      1  67        0         1
#> 106   16.67      1  49        1         0
#> 14.1  12.89      1  21        0         0
#> 89.1  11.44      1  NA        0         0
#> 89.2  11.44      1  NA        0         0
#> 58.1  19.34      1  39        0         0
#> 130.1 16.47      1  53        0         1
#> 36.1  21.19      1  48        0         1
#> 169   22.41      1  46        0         0
#> 16     8.71      1  71        0         1
#> 155.1 13.08      1  26        0         0
#> 91     5.33      1  61        0         1
#> 184   17.77      1  38        0         0
#> 192.2 16.44      1  31        1         0
#> 128   20.35      1  35        0         1
#> 69.1  23.23      1  25        0         1
#> 155.2 13.08      1  26        0         0
#> 96    14.54      1  33        0         1
#> 14.2  12.89      1  21        0         0
#> 61.1  10.12      1  36        0         1
#> 30.2  17.43      1  78        0         0
#> 8     18.43      1  32        0         0
#> 76.2  19.22      1  54        0         1
#> 179   18.63      1  42        0         0
#> 106.1 16.67      1  49        1         0
#> 61.2  10.12      1  36        0         1
#> 106.2 16.67      1  49        1         0
#> 88    18.37      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 171   16.57      1  41        0         1
#> 184.1 17.77      1  38        0         0
#> 150   20.33      1  48        0         0
#> 97.1  19.14      1  65        0         1
#> 184.2 17.77      1  38        0         0
#> 42.1  12.43      1  49        0         1
#> 81.1  14.06      1  34        0         0
#> 199.1 19.81      1  NA        0         1
#> 183.1  9.24      1  67        1         0
#> 49.1  12.19      1  48        1         0
#> 189   10.51      1  NA        1         0
#> 110.1 17.56      1  65        0         1
#> 24    23.89      1  38        0         0
#> 179.1 18.63      1  42        0         0
#> 154   12.63      1  20        1         0
#> 30.3  17.43      1  78        0         0
#> 16.1   8.71      1  71        0         1
#> 81.2  14.06      1  34        0         0
#> 117   17.46      1  26        0         1
#> 190.3 20.81      1  42        1         0
#> 187    9.92      1  39        1         0
#> 76.3  19.22      1  54        0         1
#> 131   24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 80    24.00      0  41        0         0
#> 138   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 191   24.00      0  60        0         1
#> 161   24.00      0  45        0         0
#> 80.1  24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 118   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 73    24.00      0  NA        0         1
#> 176   24.00      0  43        0         1
#> 126   24.00      0  48        0         0
#> 144.1 24.00      0  28        0         1
#> 162   24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 115   24.00      0  NA        1         0
#> 20    24.00      0  46        1         0
#> 191.1 24.00      0  60        0         1
#> 137   24.00      0  45        1         0
#> 9     24.00      0  31        1         0
#> 144.2 24.00      0  28        0         1
#> 186   24.00      0  45        1         0
#> 35    24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 186.1 24.00      0  45        1         0
#> 142   24.00      0  53        0         0
#> 131.1 24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 44    24.00      0  56        0         0
#> 132.1 24.00      0  55        0         0
#> 3     24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 198.1 24.00      0  66        0         1
#> 72    24.00      0  40        0         1
#> 148   24.00      0  61        1         0
#> 19    24.00      0  57        0         1
#> 9.1   24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 44.1  24.00      0  56        0         0
#> 119   24.00      0  17        0         0
#> 34    24.00      0  36        0         0
#> 120   24.00      0  68        0         1
#> 19.1  24.00      0  57        0         1
#> 17    24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 75    24.00      0  21        1         0
#> 19.2  24.00      0  57        0         1
#> 3.1   24.00      0  31        1         0
#> 12.1  24.00      0  63        0         0
#> 121   24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 146   24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 22    24.00      0  52        1         0
#> 165   24.00      0  47        0         0
#> 34.1  24.00      0  36        0         0
#> 137.1 24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 115.1 24.00      0  NA        1         0
#> 126.1 24.00      0  48        0         0
#> 142.1 24.00      0  53        0         0
#> 121.1 24.00      0  57        1         0
#> 95.1  24.00      0  68        0         1
#> 9.2   24.00      0  31        1         0
#> 9.3   24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 148.1 24.00      0  61        1         0
#> 120.1 24.00      0  68        0         1
#> 103   24.00      0  56        1         0
#> 62    24.00      0  71        0         0
#> 160.1 24.00      0  31        1         0
#> 115.2 24.00      0  NA        1         0
#> 94    24.00      0  51        0         1
#> 146.1 24.00      0  63        1         0
#> 72.1  24.00      0  40        0         1
#> 137.2 24.00      0  45        1         0
#> 176.1 24.00      0  43        0         1
#> 160.2 24.00      0  31        1         0
#> 198.2 24.00      0  66        0         1
#> 198.3 24.00      0  66        0         1
#> 84    24.00      0  39        0         1
#> 193   24.00      0  45        0         1
#> 172   24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.500          NA        NA      NA
#> 2 age, Cure model         -0.00854        NA        NA      NA
#> 3 grade_ii, Cure model    -0.151          NA        NA      NA
#> 4 grade_iii, Cure model    0.403          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00190        NA        NA      NA
#> 2 grade_ii, Survival model   0.169          NA        NA      NA
#> 3 grade_iii, Survival model  0.182          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.500057         -0.008536         -0.150535          0.402583  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.1 
#> Residual Deviance: 253.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.500056830     -0.008536272     -0.150535446      0.402582541 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001897636      0.168587304      0.181698572 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.16892725 0.66232375 0.28843104 0.75600198 0.43683833 0.68820380
#>   [7] 0.87240589 0.30950146 0.20301771 0.50250393 0.87240589 0.09953639
#>  [13] 0.16892725 0.69676270 0.03396772 0.72236465 0.51181087 0.20301771
#>  [19] 0.96056624 0.96851461 0.20301771 0.51181087 0.87240589 0.85592939
#>  [25] 0.40762387 0.74754025 0.86418035 0.41744394 0.55676564 0.78106209
#>  [31] 0.81449983 0.24464250 0.15584268 0.07155723 0.30950146 0.14240491
#>  [37] 0.54763220 0.83112543 0.70531396 0.84765301 0.92873652 0.67098430
#>  [43] 0.34853029 0.67961295 0.89663099 0.12853131 0.62776345 0.27763470
#>  [49] 0.47450795 0.62776345 0.42717161 0.55676564 0.65362405 0.61021671
#>  [55] 0.05396943 0.96851461 0.57481069 0.78106209 0.28843104 0.61021671
#>  [61] 0.16892725 0.11411649 0.94470127 0.75600198 0.99213734 0.44644256
#>  [67] 0.62776345 0.25574347 0.07155723 0.75600198 0.71385339 0.78106209
#>  [73] 0.89663099 0.51181087 0.38782194 0.30950146 0.36821946 0.57481069
#>  [79] 0.89663099 0.57481069 0.39773439 0.98425303 0.60129509 0.44644256
#>  [85] 0.26671047 0.34853029 0.44644256 0.81449983 0.72236465 0.92873652
#>  [91] 0.83112543 0.47450795 0.01339635 0.36821946 0.80608963 0.51181087
#>  [97] 0.94470127 0.72236465 0.49314306 0.20301771 0.92067163 0.30950146
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    36   125    58   155   134    18    93    76   190   111  93.1    63    99 
#> 21.19 15.65 19.34 13.08 17.81 15.21 10.33 19.22 20.81 17.45 10.33 22.77 21.19 
#>   180    78    81    30 190.1   149    77 190.2  30.1  93.2   159   108    60 
#> 14.82 23.88 14.06 17.43 20.81  8.37  7.27 20.81 17.43 10.33 10.55 18.29 13.15 
#>    52    51    23    14    42    68   153    69  76.1   139    45    49   133 
#> 10.42 18.23 16.92 12.89 12.43 20.62 21.33 23.23 19.22 21.49 17.42 12.19 14.65 
#>    43   183    39    97    29    61   197   192   170   110 192.1    41  23.1 
#> 12.10  9.24 15.59 19.14 15.45 10.12 21.60 16.44 19.54 17.56 16.44 18.02 16.92 
#>    26   130   164  77.1   106  14.1  58.1 130.1  36.1   169    16 155.1    91 
#> 15.77 16.47 23.60  7.27 16.67 12.89 19.34 16.47 21.19 22.41  8.71 13.08  5.33 
#>   184 192.2   128  69.1 155.2    96  14.2  61.1  30.2     8  76.2   179 106.1 
#> 17.77 16.44 20.35 23.23 13.08 14.54 12.89 10.12 17.43 18.43 19.22 18.63 16.67 
#>  61.2 106.2    88    25   171 184.1   150  97.1 184.2  42.1  81.1 183.1  49.1 
#> 10.12 16.67 18.37  6.32 16.57 17.77 20.33 19.14 17.77 12.43 14.06  9.24 12.19 
#> 110.1    24 179.1   154  30.3  16.1  81.2   117 190.3   187  76.3   131    53 
#> 17.56 23.89 18.63 12.63 17.43  8.71 14.06 17.46 20.81  9.92 19.22 24.00 24.00 
#>    80   138   198   191   161  80.1    11   118   144   176   126 144.1   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95   132    20 191.1   137     9 144.2   186    35  35.1 186.1   142 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112    44 132.1     3   196 198.1    72   148    19   9.1    71  44.1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   120  19.1    17    12    75  19.2   3.1  12.1   121   200   146   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22   165  34.1 137.1   141 126.1 142.1 121.1  95.1   9.2   9.3   160   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1 120.1   103    62 160.1    94 146.1  72.1 137.2 176.1 160.2 198.2 198.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   193   172    54 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[36]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003409052               0.668869382               0.285609792 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.40058828              0.01288437             -0.45124768 
#>   grade_iii, Cure model 
#>              0.44087545 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 78    23.88      1  43        0         0
#> 195   11.76      1  NA        1         0
#> 189   10.51      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 171   16.57      1  41        0         1
#> 187    9.92      1  39        1         0
#> 123   13.00      1  44        1         0
#> 154   12.63      1  20        1         0
#> 92    22.92      1  47        0         1
#> 32    20.90      1  37        1         0
#> 93    10.33      1  52        0         1
#> 39    15.59      1  37        0         1
#> 127    3.53      1  62        0         1
#> 145   10.07      1  65        1         0
#> 188   16.16      1  46        0         1
#> 190   20.81      1  42        1         0
#> 194   22.40      1  38        0         1
#> 25     6.32      1  34        1         0
#> 194.1 22.40      1  38        0         1
#> 113   22.86      1  34        0         0
#> 52    10.42      1  52        0         1
#> 88    18.37      1  47        0         0
#> 13    14.34      1  54        0         1
#> 37    12.52      1  57        1         0
#> 81    14.06      1  34        0         0
#> 32.1  20.90      1  37        1         0
#> 157   15.10      1  47        0         0
#> 169   22.41      1  46        0         0
#> 188.1 16.16      1  46        0         1
#> 51    18.23      1  83        0         1
#> 169.1 22.41      1  46        0         0
#> 199   19.81      1  NA        0         1
#> 101    9.97      1  10        0         1
#> 164   23.60      1  76        0         1
#> 89    11.44      1  NA        0         0
#> 56    12.21      1  60        0         0
#> 195.1 11.76      1  NA        1         0
#> 180.1 14.82      1  37        0         0
#> 25.1   6.32      1  34        1         0
#> 52.1  10.42      1  52        0         1
#> 100   16.07      1  60        0         0
#> 8     18.43      1  32        0         0
#> 8.1   18.43      1  32        0         0
#> 136   21.83      1  43        0         1
#> 32.2  20.90      1  37        1         0
#> 60    13.15      1  38        1         0
#> 93.1  10.33      1  52        0         1
#> 170   19.54      1  43        0         1
#> 177   12.53      1  75        0         0
#> 8.2   18.43      1  32        0         0
#> 177.1 12.53      1  75        0         0
#> 61    10.12      1  36        0         1
#> 24    23.89      1  38        0         0
#> 197   21.60      1  69        1         0
#> 25.2   6.32      1  34        1         0
#> 88.1  18.37      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 51.1  18.23      1  83        0         1
#> 134   17.81      1  47        1         0
#> 105   19.75      1  60        0         0
#> 108   18.29      1  39        0         1
#> 23    16.92      1  61        0         0
#> 134.1 17.81      1  47        1         0
#> 175   21.91      1  43        0         0
#> 51.2  18.23      1  83        0         1
#> 184   17.77      1  38        0         0
#> 32.3  20.90      1  37        1         0
#> 136.1 21.83      1  43        0         1
#> 6     15.64      1  39        0         0
#> 50    10.02      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 168   23.72      1  70        0         0
#> 170.1 19.54      1  43        0         1
#> 39.1  15.59      1  37        0         1
#> 92.1  22.92      1  47        0         1
#> 13.1  14.34      1  54        0         1
#> 123.1 13.00      1  44        1         0
#> 179   18.63      1  42        0         0
#> 30    17.43      1  78        0         0
#> 88.2  18.37      1  47        0         0
#> 133   14.65      1  57        0         0
#> 180.2 14.82      1  37        0         0
#> 111   17.45      1  47        0         1
#> 192   16.44      1  31        1         0
#> 58    19.34      1  39        0         0
#> 149    8.37      1  33        1         0
#> 77     7.27      1  67        0         1
#> 170.2 19.54      1  43        0         1
#> 96    14.54      1  33        0         1
#> 128   20.35      1  35        0         1
#> 154.1 12.63      1  20        1         0
#> 88.3  18.37      1  47        0         0
#> 60.1  13.15      1  38        1         0
#> 179.1 18.63      1  42        0         0
#> 99    21.19      1  38        0         1
#> 168.1 23.72      1  70        0         0
#> 51.3  18.23      1  83        0         1
#> 55    19.34      1  69        0         1
#> 171.1 16.57      1  41        0         1
#> 136.2 21.83      1  43        0         1
#> 43    12.10      1  61        0         1
#> 14    12.89      1  21        0         0
#> 110   17.56      1  65        0         1
#> 49    12.19      1  48        1         0
#> 199.1 19.81      1  NA        0         1
#> 63    22.77      1  31        1         0
#> 190.1 20.81      1  42        1         0
#> 117   17.46      1  26        0         1
#> 167   15.55      1  56        1         0
#> 29    15.45      1  68        1         0
#> 140   12.68      1  59        1         0
#> 164.1 23.60      1  76        0         1
#> 103   24.00      0  56        1         0
#> 141   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 62    24.00      0  71        0         0
#> 178   24.00      0  52        1         0
#> 144   24.00      0  28        0         1
#> 186   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 65    24.00      0  57        1         0
#> 109   24.00      0  48        0         0
#> 191   24.00      0  60        0         1
#> 126   24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 132   24.00      0  55        0         0
#> 38    24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 2     24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 193   24.00      0  45        0         1
#> 173   24.00      0  19        0         1
#> 116.1 24.00      0  58        0         1
#> 138   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 176   24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 173.1 24.00      0  19        0         1
#> 28    24.00      0  67        1         0
#> 9     24.00      0  31        1         0
#> 144.1 24.00      0  28        0         1
#> 1     24.00      0  23        1         0
#> 182   24.00      0  35        0         0
#> 126.1 24.00      0  48        0         0
#> 200   24.00      0  64        0         0
#> 174   24.00      0  49        1         0
#> 28.1  24.00      0  67        1         0
#> 74    24.00      0  43        0         1
#> 9.1   24.00      0  31        1         0
#> 118.1 24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 22    24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 74.1  24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 178.1 24.00      0  52        1         0
#> 165.1 24.00      0  47        0         0
#> 67.1  24.00      0  25        0         0
#> 116.2 24.00      0  58        0         1
#> 143   24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 173.2 24.00      0  19        0         1
#> 156.1 24.00      0  50        1         0
#> 196   24.00      0  19        0         0
#> 31    24.00      0  36        0         1
#> 19    24.00      0  57        0         1
#> 146   24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 186.1 24.00      0  45        1         0
#> 3     24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 83.1  24.00      0   6        0         0
#> 65.1  24.00      0  57        1         0
#> 116.3 24.00      0  58        0         1
#> 173.3 24.00      0  19        0         1
#> 28.2  24.00      0  67        1         0
#> 19.1  24.00      0  57        0         1
#> 65.2  24.00      0  57        1         0
#> 67.2  24.00      0  25        0         0
#> 146.1 24.00      0  63        1         0
#> 147   24.00      0  76        1         0
#> 73    24.00      0  NA        0         1
#> 196.1 24.00      0  19        0         0
#> 71.1  24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 17    24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 33    24.00      0  53        0         0
#> 156.2 24.00      0  50        1         0
#> 19.2  24.00      0  57        0         1
#> 67.3  24.00      0  25        0         0
#> 2.1   24.00      0   9        0         0
#> 182.1 24.00      0  35        0         0
#> 54    24.00      0  53        1         0
#> 98    24.00      0  34        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.401         NA        NA      NA
#> 2 age, Cure model           0.0129        NA        NA      NA
#> 3 grade_ii, Cure model     -0.451         NA        NA      NA
#> 4 grade_iii, Cure model     0.441         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00341        NA        NA      NA
#> 2 grade_ii, Survival model   0.669          NA        NA      NA
#> 3 grade_iii, Survival model  0.286          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.40059           0.01288          -0.45125           0.44088  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 255.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.40058828       0.01288437      -0.45124768       0.44087545 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003409052      0.668869382      0.285609792 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.017507476 0.692747140 0.583888409 0.943157641 0.781930711 0.816637114
#>   [7] 0.082420683 0.249010710 0.901305821 0.647727172 0.991930601 0.926461056
#>  [13] 0.611384073 0.286903648 0.156785337 0.967903864 0.156785337 0.107089920
#>  [19] 0.884516595 0.426233054 0.737480442 0.850590158 0.755342431 0.249010710
#>  [25] 0.683773954 0.132706733 0.611384073 0.472864905 0.132706733 0.934820008
#>  [31] 0.056797222 0.859089017 0.692747140 0.967903864 0.884516595 0.629457258
#>  [37] 0.398458894 0.398458894 0.192524266 0.249010710 0.764338571 0.901305821
#>  [43] 0.324610363 0.833574630 0.398458894 0.833574630 0.918059347 0.005608699
#>  [49] 0.226135102 0.967903864 0.426233054 0.472864905 0.509857469 0.315096626
#>  [55] 0.463330714 0.574591974 0.509857469 0.180263100 0.472864905 0.528251366
#>  [61] 0.249010710 0.192524266 0.638584080 0.370501061 0.031082133 0.324610363
#>  [67] 0.647727172 0.082420683 0.737480442 0.781930711 0.379856852 0.565323695
#>  [73] 0.426233054 0.719440966 0.692747140 0.556090763 0.602242288 0.351976412
#>  [79] 0.951443341 0.959675680 0.324610363 0.728471257 0.305635748 0.816637114
#>  [85] 0.426233054 0.764338571 0.379856852 0.237619339 0.031082133 0.472864905
#>  [91] 0.351976412 0.583888409 0.192524266 0.876063322 0.799257744 0.537549647
#>  [97] 0.867603457 0.120411553 0.286903648 0.546837311 0.665796758 0.674818168
#> [103] 0.807975296 0.056797222 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    78   180   171   187   123   154    92    32    93    39   127   145   188 
#> 23.88 14.82 16.57  9.92 13.00 12.63 22.92 20.90 10.33 15.59  3.53 10.07 16.16 
#>   190   194    25 194.1   113    52    88    13    37    81  32.1   157   169 
#> 20.81 22.40  6.32 22.40 22.86 10.42 18.37 14.34 12.52 14.06 20.90 15.10 22.41 
#> 188.1    51 169.1   101   164    56 180.1  25.1  52.1   100     8   8.1   136 
#> 16.16 18.23 22.41  9.97 23.60 12.21 14.82  6.32 10.42 16.07 18.43 18.43 21.83 
#>  32.2    60  93.1   170   177   8.2 177.1    61    24   197  25.2  88.1  51.1 
#> 20.90 13.15 10.33 19.54 12.53 18.43 12.53 10.12 23.89 21.60  6.32 18.37 18.23 
#>   134   105   108    23 134.1   175  51.2   184  32.3 136.1     6    76   168 
#> 17.81 19.75 18.29 16.92 17.81 21.91 18.23 17.77 20.90 21.83 15.64 19.22 23.72 
#> 170.1  39.1  92.1  13.1 123.1   179    30  88.2   133 180.2   111   192    58 
#> 19.54 15.59 22.92 14.34 13.00 18.63 17.43 18.37 14.65 14.82 17.45 16.44 19.34 
#>   149    77 170.2    96   128 154.1  88.3  60.1 179.1    99 168.1  51.3    55 
#>  8.37  7.27 19.54 14.54 20.35 12.63 18.37 13.15 18.63 21.19 23.72 18.23 19.34 
#> 171.1 136.2    43    14   110    49    63 190.1   117   167    29   140 164.1 
#> 16.57 21.83 12.10 12.89 17.56 12.19 22.77 20.81 17.46 15.55 15.45 12.68 23.60 
#>   103   141   131   118    20    62   178   144   186   116    65   109   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126   165   132    38    71    67     2   142   193   173 116.1   138    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   156 173.1    28     9 144.1     1   182 126.1   200   174  28.1    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1 118.1    80    22    82  74.1   121 178.1 165.1  67.1 116.2   143    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.2 156.1   196    31    19   146   185   163 186.1     3 193.1  83.1  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.3 173.3  28.2  19.1  65.2  67.2 146.1   147 196.1  71.1 185.1   104    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148    33 156.2  19.2  67.3   2.1 182.1    54    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[37]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01834695                0.70271222                0.54521781 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.34949681              0.01656772              1.24323394 
#>   grade_iii, Cure model 
#>              1.04078816 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 37    12.52      1  57        1         0
#> 128   20.35      1  35        0         1
#> 25     6.32      1  34        1         0
#> 56    12.21      1  60        0         0
#> 150   20.33      1  48        0         0
#> 58    19.34      1  39        0         0
#> 158   20.14      1  74        1         0
#> 140   12.68      1  59        1         0
#> 61    10.12      1  36        0         1
#> 184   17.77      1  38        0         0
#> 154   12.63      1  20        1         0
#> 170   19.54      1  43        0         1
#> 183    9.24      1  67        1         0
#> 157   15.10      1  47        0         0
#> 39    15.59      1  37        0         1
#> 123   13.00      1  44        1         0
#> 60    13.15      1  38        1         0
#> 183.1  9.24      1  67        1         0
#> 52    10.42      1  52        0         1
#> 10    10.53      1  34        0         0
#> 15    22.68      1  48        0         0
#> 93    10.33      1  52        0         1
#> 42    12.43      1  49        0         1
#> 61.1  10.12      1  36        0         1
#> 136   21.83      1  43        0         1
#> 101    9.97      1  10        0         1
#> 32    20.90      1  37        1         0
#> 113   22.86      1  34        0         0
#> 149    8.37      1  33        1         0
#> 70     7.38      1  30        1         0
#> 52.1  10.42      1  52        0         1
#> 30    17.43      1  78        0         0
#> 134   17.81      1  47        1         0
#> 181   16.46      1  45        0         1
#> 139   21.49      1  63        1         0
#> 114   13.68      1  NA        0         0
#> 188   16.16      1  46        0         1
#> 18    15.21      1  49        1         0
#> 91     5.33      1  61        0         1
#> 61.2  10.12      1  36        0         1
#> 25.1   6.32      1  34        1         0
#> 76    19.22      1  54        0         1
#> 134.1 17.81      1  47        1         0
#> 79    16.23      1  54        1         0
#> 60.1  13.15      1  38        1         0
#> 25.2   6.32      1  34        1         0
#> 125   15.65      1  67        1         0
#> 52.2  10.42      1  52        0         1
#> 89    11.44      1  NA        0         0
#> 175   21.91      1  43        0         0
#> 184.1 17.77      1  38        0         0
#> 189   10.51      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 79.1  16.23      1  54        1         0
#> 125.1 15.65      1  67        1         0
#> 23    16.92      1  61        0         0
#> 195   11.76      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 41    18.02      1  40        1         0
#> 158.1 20.14      1  74        1         0
#> 158.2 20.14      1  74        1         0
#> 49    12.19      1  48        1         0
#> 79.2  16.23      1  54        1         0
#> 169   22.41      1  46        0         0
#> 167   15.55      1  56        1         0
#> 108   18.29      1  39        0         1
#> 107   11.18      1  54        1         0
#> 127    3.53      1  62        0         1
#> 100   16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 106   16.67      1  49        1         0
#> 197   21.60      1  69        1         0
#> 188.1 16.16      1  46        0         1
#> 50    10.02      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 197.1 21.60      1  69        1         0
#> 97    19.14      1  65        0         1
#> 180   14.82      1  37        0         0
#> 199.1 19.81      1  NA        0         1
#> 167.1 15.55      1  56        1         0
#> 29    15.45      1  68        1         0
#> 42.1  12.43      1  49        0         1
#> 189.1 10.51      1  NA        1         0
#> 170.1 19.54      1  43        0         1
#> 189.2 10.51      1  NA        1         0
#> 49.1  12.19      1  48        1         0
#> 10.1  10.53      1  34        0         0
#> 129   23.41      1  53        1         0
#> 117   17.46      1  26        0         1
#> 10.2  10.53      1  34        0         0
#> 29.1  15.45      1  68        1         0
#> 114.1 13.68      1  NA        0         0
#> 4     17.64      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 127.1  3.53      1  62        0         1
#> 56.1  12.21      1  60        0         0
#> 113.1 22.86      1  34        0         0
#> 187    9.92      1  39        1         0
#> 99    21.19      1  38        0         1
#> 97.1  19.14      1  65        0         1
#> 167.2 15.55      1  56        1         0
#> 164   23.60      1  76        0         1
#> 167.3 15.55      1  56        1         0
#> 96    14.54      1  33        0         1
#> 139.1 21.49      1  63        1         0
#> 26    15.77      1  49        0         1
#> 41.1  18.02      1  40        1         0
#> 30.1  17.43      1  78        0         0
#> 15.1  22.68      1  48        0         0
#> 157.1 15.10      1  47        0         0
#> 4.1   17.64      1  NA        0         1
#> 199.2 19.81      1  NA        0         1
#> 84    24.00      0  39        0         1
#> 165   24.00      0  47        0         0
#> 80    24.00      0  41        0         0
#> 162   24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 162.2 24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 143   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 74    24.00      0  43        0         1
#> 48    24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 1     24.00      0  23        1         0
#> 54    24.00      0  53        1         0
#> 143.1 24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 160   24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 67    24.00      0  25        0         0
#> 152.1 24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 147   24.00      0  76        1         0
#> 73    24.00      0  NA        0         1
#> 11    24.00      0  42        0         1
#> 115   24.00      0  NA        1         0
#> 160.1 24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 176   24.00      0  43        0         1
#> 151   24.00      0  42        0         0
#> 67.1  24.00      0  25        0         0
#> 186   24.00      0  45        1         0
#> 119   24.00      0  17        0         0
#> 104   24.00      0  50        1         0
#> 20.1  24.00      0  46        1         0
#> 162.3 24.00      0  51        0         0
#> 104.1 24.00      0  50        1         0
#> 20.2  24.00      0  46        1         0
#> 135   24.00      0  58        1         0
#> 21    24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 132   24.00      0  55        0         0
#> 84.1  24.00      0  39        0         1
#> 176.1 24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 87    24.00      0  27        0         0
#> 200.1 24.00      0  64        0         0
#> 132.1 24.00      0  55        0         0
#> 131   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 73.1  24.00      0  NA        0         1
#> 44    24.00      0  56        0         0
#> 151.1 24.00      0  42        0         0
#> 73.2  24.00      0  NA        0         1
#> 185.1 24.00      0  44        1         0
#> 115.1 24.00      0  NA        1         0
#> 161.1 24.00      0  45        0         0
#> 138   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 161.2 24.00      0  45        0         0
#> 74.1  24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 64.1  24.00      0  43        0         0
#> 116.1 24.00      0  58        0         1
#> 80.1  24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 122   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 151.2 24.00      0  42        0         0
#> 74.2  24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 84.2  24.00      0  39        0         1
#> 132.2 24.00      0  55        0         0
#> 165.1 24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 135.1 24.00      0  58        1         0
#> 102   24.00      0  49        0         0
#> 165.2 24.00      0  47        0         0
#> 11.1  24.00      0  42        0         1
#> 44.1  24.00      0  56        0         0
#> 44.2  24.00      0  56        0         0
#> 35.1  24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 115.2 24.00      0  NA        1         0
#> 95.1  24.00      0  68        0         1
#> 143.2 24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.35          NA        NA      NA
#> 2 age, Cure model           0.0166        NA        NA      NA
#> 3 grade_ii, Cure model      1.24          NA        NA      NA
#> 4 grade_iii, Cure model     1.04          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0183        NA        NA      NA
#> 2 grade_ii, Survival model    0.703         NA        NA      NA
#> 3 grade_iii, Survival model   0.545         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.34950           0.01657           1.24323           1.04079  
#> 
#> Degrees of Freedom: 180 Total (i.e. Null);  177 Residual
#> Null Deviance:	    249.3 
#> Residual Deviance: 234.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.34949681       0.01656772       1.24323394       1.04078816 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01834695       0.70271222       0.54521781 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.5766452936 0.0554325707 0.9155331856 0.6145180516 0.0612863976
#>   [6] 0.1006302625 0.0674871921 0.5514766072 0.7891102150 0.1816962560
#>  [11] 0.5641169502 0.0867751792 0.8589175093 0.4647319140 0.3729916854
#>  [16] 0.5389271607 0.5141770574 0.8589175093 0.7338127761 0.6933549727
#>  [21] 0.0058706704 0.7750336016 0.5892531937 0.7891102150 0.0191467142
#>  [26] 0.8308304443 0.0496358055 0.0024260660 0.8871528445 0.9013613882
#>  [31] 0.7338127761 0.2082819939 0.1649064603 0.2670524407 0.0331565410
#>  [36] 0.3077608233 0.4527356183 0.9572376470 0.7891102150 0.9155331856
#>  [41] 0.1080863868 0.1649064603 0.2773061499 0.5141770574 0.9155331856
#>  [46] 0.3507236912 0.7338127761 0.0148895378 0.1816962560 0.2773061499
#>  [51] 0.3507236912 0.2270575243 0.2468736185 0.1483663009 0.0674871921
#>  [56] 0.0674871921 0.6404957645 0.2773061499 0.0112093583 0.3843400596
#>  [61] 0.1398827941 0.6799679128 0.9714374494 0.3287790935 0.1314792294
#>  [66] 0.2369286241 0.0236225505 0.3077608233 0.6666464936 0.0236225505
#>  [71] 0.1157322656 0.4891334759 0.3843400596 0.4291707173 0.5892531937
#>  [76] 0.0867751792 0.6404957645 0.6933549727 0.0010480442 0.1993034376
#>  [81] 0.6933549727 0.4291707173 0.2568941372 0.9714374494 0.6145180516
#>  [86] 0.0024260660 0.8448724875 0.0438234352 0.1157322656 0.3843400596
#>  [91] 0.0001011921 0.3843400596 0.5016461238 0.0331565410 0.3396985811
#>  [96] 0.1483663009 0.2082819939 0.0058706704 0.4647319140 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000
#> 
#> $Time
#>    37   128    25    56   150    58   158   140    61   184   154   170   183 
#> 12.52 20.35  6.32 12.21 20.33 19.34 20.14 12.68 10.12 17.77 12.63 19.54  9.24 
#>   157    39   123    60 183.1    52    10    15    93    42  61.1   136   101 
#> 15.10 15.59 13.00 13.15  9.24 10.42 10.53 22.68 10.33 12.43 10.12 21.83  9.97 
#>    32   113   149    70  52.1    30   134   181   139   188    18    91  61.2 
#> 20.90 22.86  8.37  7.38 10.42 17.43 17.81 16.46 21.49 16.16 15.21  5.33 10.12 
#>  25.1    76 134.1    79  60.1  25.2   125  52.2   175 184.1  79.1 125.1    23 
#>  6.32 19.22 17.81 16.23 13.15  6.32 15.65 10.42 21.91 17.77 16.23 15.65 16.92 
#>   171    41 158.1 158.2    49  79.2   169   167   108   107   127   100   179 
#> 16.57 18.02 20.14 20.14 12.19 16.23 22.41 15.55 18.29 11.18  3.53 16.07 18.63 
#>   106   197 188.1    43 197.1    97   180 167.1    29  42.1 170.1  49.1  10.1 
#> 16.67 21.60 16.16 12.10 21.60 19.14 14.82 15.55 15.45 12.43 19.54 12.19 10.53 
#>   129   117  10.2  29.1   130 127.1  56.1 113.1   187    99  97.1 167.2   164 
#> 23.41 17.46 10.53 15.45 16.47  3.53 12.21 22.86  9.92 21.19 19.14 15.55 23.60 
#> 167.3    96 139.1    26  41.1  30.1  15.1 157.1    84   165    80   162 162.1 
#> 15.55 14.54 21.49 15.77 18.02 17.43 22.68 15.10 24.00 24.00 24.00 24.00 24.00 
#> 162.2   161   143    27    74    48   112     1    54 143.1     3    95   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160   152    67 152.1    53   147    11 160.1    20   176   151  67.1   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   104  20.1 162.3 104.1  20.2   135    21   200   132  84.1 176.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87 200.1 132.1   131   185    44 151.1 185.1 161.1   138    35 161.2  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121  64.1 116.1  80.1    72   122    47 151.2  74.2   193  84.2 132.2 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94 135.1   102 165.2  11.1  44.1  44.2  35.1     7  95.1 143.2   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[38]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0005172929              0.9007600168              0.3394109704 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.244016196            -0.002212477             0.688063023 
#>   grade_iii, Cure model 
#>             0.961994424 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 113   22.86      1  34        0         0
#> 130   16.47      1  53        0         1
#> 96    14.54      1  33        0         1
#> 30    17.43      1  78        0         0
#> 37    12.52      1  57        1         0
#> 145   10.07      1  65        1         0
#> 29    15.45      1  68        1         0
#> 70     7.38      1  30        1         0
#> 76    19.22      1  54        0         1
#> 24    23.89      1  38        0         0
#> 107   11.18      1  54        1         0
#> 50    10.02      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 133   14.65      1  57        0         0
#> 18    15.21      1  49        1         0
#> 10    10.53      1  34        0         0
#> 107.1 11.18      1  54        1         0
#> 154   12.63      1  20        1         0
#> 70.1   7.38      1  30        1         0
#> 92    22.92      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 13    14.34      1  54        0         1
#> 117   17.46      1  26        0         1
#> 127    3.53      1  62        0         1
#> 175   21.91      1  43        0         0
#> 99    21.19      1  38        0         1
#> 190   20.81      1  42        1         0
#> 190.1 20.81      1  42        1         0
#> 169   22.41      1  46        0         0
#> 194   22.40      1  38        0         1
#> 181   16.46      1  45        0         1
#> 184   17.77      1  38        0         0
#> 167   15.55      1  56        1         0
#> 25     6.32      1  34        1         0
#> 49    12.19      1  48        1         0
#> 192   16.44      1  31        1         0
#> 81    14.06      1  34        0         0
#> 181.1 16.46      1  45        0         1
#> 89    11.44      1  NA        0         0
#> 14    12.89      1  21        0         0
#> 57    14.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 179   18.63      1  42        0         0
#> 68    20.62      1  44        0         0
#> 101    9.97      1  10        0         1
#> 52    10.42      1  52        0         1
#> 59    10.16      1  NA        1         0
#> 130.1 16.47      1  53        0         1
#> 58.1  19.34      1  39        0         0
#> 37.1  12.52      1  57        1         0
#> 14.1  12.89      1  21        0         0
#> 41    18.02      1  40        1         0
#> 128   20.35      1  35        0         1
#> 149    8.37      1  33        1         0
#> 106   16.67      1  49        1         0
#> 50.1  10.02      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 51    18.23      1  83        0         1
#> 45    17.42      1  54        0         1
#> 133.1 14.65      1  57        0         0
#> 5     16.43      1  51        0         1
#> 29.1  15.45      1  68        1         0
#> 57.1  14.46      1  45        0         1
#> 197   21.60      1  69        1         0
#> 190.2 20.81      1  42        1         0
#> 114   13.68      1  NA        0         0
#> 192.1 16.44      1  31        1         0
#> 110   17.56      1  65        0         1
#> 149.1  8.37      1  33        1         0
#> 150   20.33      1  48        0         0
#> 175.1 21.91      1  43        0         0
#> 140   12.68      1  59        1         0
#> 89.1  11.44      1  NA        0         0
#> 49.1  12.19      1  48        1         0
#> 30.1  17.43      1  78        0         0
#> 139   21.49      1  63        1         0
#> 183    9.24      1  67        1         0
#> 15    22.68      1  48        0         0
#> 39    15.59      1  37        0         1
#> 170   19.54      1  43        0         1
#> 58.2  19.34      1  39        0         0
#> 99.1  21.19      1  38        0         1
#> 70.2   7.38      1  30        1         0
#> 60    13.15      1  38        1         0
#> 55    19.34      1  69        0         1
#> 175.2 21.91      1  43        0         0
#> 127.1  3.53      1  62        0         1
#> 149.2  8.37      1  33        1         0
#> 45.1  17.42      1  54        0         1
#> 90    20.94      1  50        0         1
#> 40    18.00      1  28        1         0
#> 145.1 10.07      1  65        1         0
#> 91     5.33      1  61        0         1
#> 13.1  14.34      1  54        0         1
#> 134   17.81      1  47        1         0
#> 188   16.16      1  46        0         1
#> 59.1  10.16      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 25.1   6.32      1  34        1         0
#> 155   13.08      1  26        0         0
#> 199   19.81      1  NA        0         1
#> 41.1  18.02      1  40        1         0
#> 149.3  8.37      1  33        1         0
#> 181.2 16.46      1  45        0         1
#> 51.1  18.23      1  83        0         1
#> 155.1 13.08      1  26        0         0
#> 177.1 12.53      1  75        0         0
#> 180   14.82      1  37        0         0
#> 99.2  21.19      1  38        0         1
#> 74    24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 53    24.00      0  32        0         1
#> 38    24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 196   24.00      0  19        0         0
#> 137   24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 120   24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 160   24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 53.1  24.00      0  32        0         1
#> 191.1 24.00      0  60        0         1
#> 138   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 132.1 24.00      0  55        0         0
#> 44    24.00      0  56        0         0
#> 46    24.00      0  71        0         0
#> 102   24.00      0  49        0         0
#> 12    24.00      0  63        0         0
#> 33    24.00      0  53        0         0
#> 46.1  24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 38.1  24.00      0  31        1         0
#> 46.2  24.00      0  71        0         0
#> 67    24.00      0  25        0         0
#> 27    24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 121   24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 20    24.00      0  46        1         0
#> 200.1 24.00      0  64        0         0
#> 182   24.00      0  35        0         0
#> 165   24.00      0  47        0         0
#> 20.1  24.00      0  46        1         0
#> 152   24.00      0  36        0         1
#> 21.1  24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 75    24.00      0  21        1         0
#> 172.1 24.00      0  41        0         0
#> 137.1 24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 109.1 24.00      0  48        0         0
#> 94    24.00      0  51        0         1
#> 163   24.00      0  66        0         0
#> 82    24.00      0  34        0         0
#> 172.2 24.00      0  41        0         0
#> 33.1  24.00      0  53        0         0
#> 48    24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 38.2  24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 94.1  24.00      0  51        0         1
#> 34    24.00      0  36        0         0
#> 11    24.00      0  42        0         1
#> 2     24.00      0   9        0         0
#> 94.2  24.00      0  51        0         1
#> 46.3  24.00      0  71        0         0
#> 131   24.00      0  66        0         0
#> 109.2 24.00      0  48        0         0
#> 28.1  24.00      0  67        1         0
#> 104   24.00      0  50        1         0
#> 152.1 24.00      0  36        0         1
#> 156.1 24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 27.1  24.00      0  63        1         0
#> 151   24.00      0  42        0         0
#> 9     24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 54    24.00      0  53        1         0
#> 115   24.00      0  NA        1         0
#> 75.1  24.00      0  21        1         0
#> 119.1 24.00      0  17        0         0
#> 186   24.00      0  45        1         0
#> 144.1 24.00      0  28        0         1
#> 141   24.00      0  44        1         0
#> 12.1  24.00      0  63        0         0
#> 46.4  24.00      0  71        0         0
#> 176   24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 67.1  24.00      0  25        0         0
#> 161   24.00      0  45        0         0
#> 94.3  24.00      0  51        0         1
#> 28.2  24.00      0  67        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.244          NA        NA      NA
#> 2 age, Cure model         -0.00221        NA        NA      NA
#> 3 grade_ii, Cure model     0.688          NA        NA      NA
#> 4 grade_iii, Cure model    0.962          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000517        NA        NA      NA
#> 2 grade_ii, Survival model   0.901           NA        NA      NA
#> 3 grade_iii, Survival model  0.339           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.244016         -0.002212          0.688063          0.961994  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 253.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.244016196     -0.002212477      0.688063023      0.961994424 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0005172929     0.9007600168     0.3394109704 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.85318540 0.05999449 0.58068131 0.72806434 0.53484644 0.83911643
#>   [7] 0.90096786 0.68205629 0.95205098 0.41477303 0.01414042 0.87400860
#>  [13] 0.34981095 0.71282597 0.69751643 0.88747095 0.87400860 0.81748255
#>  [19] 0.95205098 0.03920832 0.52551784 0.75075653 0.51612751 0.98813729
#>  [25] 0.14339603 0.22847615 0.28261985 0.28261985 0.10213671 0.12340982
#>  [31] 0.59837920 0.49715070 0.67403008 0.97022208 0.86025092 0.62430454
#>  [37] 0.76571014 0.59837920 0.79539779 0.73569328 0.37233001 0.42571070
#>  [43] 0.31573160 0.91412507 0.89422875 0.58068131 0.37233001 0.83911643
#>  [49] 0.79539779 0.45790491 0.32718826 0.92722800 0.57166250 0.82471177
#>  [55] 0.43665444 0.55336631 0.71282597 0.64104618 0.68205629 0.73569328
#>  [61] 0.19602307 0.28261985 0.62430454 0.50667088 0.92722800 0.33849495
#>  [67] 0.14339603 0.81016033 0.86025092 0.53484644 0.21310066 0.92070864
#>  [73] 0.08098291 0.66586867 0.36113597 0.37233001 0.22847615 0.95205098
#>  [79] 0.77322510 0.37233001 0.14339603 0.98813729 0.92722800 0.55336631
#>  [85] 0.26873653 0.47784968 0.90096786 0.98216214 0.75075653 0.48763407
#>  [91] 0.65766933 0.64943187 0.97022208 0.78063822 0.45790491 0.92722800
#>  [97] 0.59837920 0.43665444 0.78063822 0.82471177 0.70517041 0.22847615
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    56   113   130    96    30    37   145    29    70    76    24   107   166 
#> 12.21 22.86 16.47 14.54 17.43 12.52 10.07 15.45  7.38 19.22 23.89 11.18 19.98 
#>   133    18    10 107.1   154  70.1    92   111    13   117   127   175    99 
#> 14.65 15.21 10.53 11.18 12.63  7.38 22.92 17.45 14.34 17.46  3.53 21.91 21.19 
#>   190 190.1   169   194   181   184   167    25    49   192    81 181.1    14 
#> 20.81 20.81 22.41 22.40 16.46 17.77 15.55  6.32 12.19 16.44 14.06 16.46 12.89 
#>    57    58   179    68   101    52 130.1  58.1  37.1  14.1    41   128   149 
#> 14.46 19.34 18.63 20.62  9.97 10.42 16.47 19.34 12.52 12.89 18.02 20.35  8.37 
#>   106   177    51    45 133.1     5  29.1  57.1   197 190.2 192.1   110 149.1 
#> 16.67 12.53 18.23 17.42 14.65 16.43 15.45 14.46 21.60 20.81 16.44 17.56  8.37 
#>   150 175.1   140  49.1  30.1   139   183    15    39   170  58.2  99.1  70.2 
#> 20.33 21.91 12.68 12.19 17.43 21.49  9.24 22.68 15.59 19.54 19.34 21.19  7.38 
#>    60    55 175.2 127.1 149.2  45.1    90    40 145.1    91  13.1   134   188 
#> 13.15 19.34 21.91  3.53  8.37 17.42 20.94 18.00 10.07  5.33 14.34 17.81 16.16 
#>    79  25.1   155  41.1 149.3 181.2  51.1 155.1 177.1   180  99.2    74   200 
#> 16.23  6.32 13.08 18.02  8.37 16.46 18.23 13.08 12.53 14.82 21.19 24.00 24.00 
#>    53    38   109   196   137   132   120    71   143   191   160   144  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1   138    21 132.1    44    46   102    12    33  46.1   156  38.1  46.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    27   119   121    28    20 200.1   182   165  20.1   152  21.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75 172.1 137.1    95   116 109.1    94   163    82 172.2  33.1    48    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.2    19  94.1    34    11     2  94.2  46.3   131 109.2  28.1   104 152.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1   147  27.1   151     9   2.1    54  75.1 119.1   186 144.1   141  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.4   176   103  67.1   161  94.3  28.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[39]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0005425628              0.6289739537              0.5547526113 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.51460454              0.01270828             -0.03405160 
#>   grade_iii, Cure model 
#>              0.12614413 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 149    8.37      1  33        1         0
#> 133   14.65      1  57        0         0
#> 169   22.41      1  46        0         0
#> 85    16.44      1  36        0         0
#> 68    20.62      1  44        0         0
#> 181   16.46      1  45        0         1
#> 117   17.46      1  26        0         1
#> 139   21.49      1  63        1         0
#> 149.1  8.37      1  33        1         0
#> 16     8.71      1  71        0         1
#> 14    12.89      1  21        0         0
#> 153   21.33      1  55        1         0
#> 153.1 21.33      1  55        1         0
#> 129   23.41      1  53        1         0
#> 168   23.72      1  70        0         0
#> 170   19.54      1  43        0         1
#> 91     5.33      1  61        0         1
#> 89    11.44      1  NA        0         0
#> 61    10.12      1  36        0         1
#> 188   16.16      1  46        0         1
#> 168.1 23.72      1  70        0         0
#> 190   20.81      1  42        1         0
#> 49    12.19      1  48        1         0
#> 100   16.07      1  60        0         0
#> 90    20.94      1  50        0         1
#> 30    17.43      1  78        0         0
#> 169.1 22.41      1  46        0         0
#> 127    3.53      1  62        0         1
#> 25     6.32      1  34        1         0
#> 18    15.21      1  49        1         0
#> 58    19.34      1  39        0         0
#> 105   19.75      1  60        0         0
#> 69    23.23      1  25        0         1
#> 169.2 22.41      1  46        0         0
#> 117.1 17.46      1  26        0         1
#> 60    13.15      1  38        1         0
#> 124    9.73      1  NA        1         0
#> 68.1  20.62      1  44        0         0
#> 51    18.23      1  83        0         1
#> 39    15.59      1  37        0         1
#> 184   17.77      1  38        0         0
#> 124.1  9.73      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 42    12.43      1  49        0         1
#> 55    19.34      1  69        0         1
#> 24    23.89      1  38        0         0
#> 68.2  20.62      1  44        0         0
#> 170.1 19.54      1  43        0         1
#> 155   13.08      1  26        0         0
#> 23    16.92      1  61        0         0
#> 97    19.14      1  65        0         1
#> 168.2 23.72      1  70        0         0
#> 164   23.60      1  76        0         1
#> 76    19.22      1  54        0         1
#> 114   13.68      1  NA        0         0
#> 37    12.52      1  57        1         0
#> 107   11.18      1  54        1         0
#> 63    22.77      1  31        1         0
#> 124.2  9.73      1  NA        1         0
#> 40.1  18.00      1  28        1         0
#> 157   15.10      1  47        0         0
#> 187    9.92      1  39        1         0
#> 180   14.82      1  37        0         0
#> 89.1  11.44      1  NA        0         0
#> 180.1 14.82      1  37        0         0
#> 140   12.68      1  59        1         0
#> 8     18.43      1  32        0         0
#> 189   10.51      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 113   22.86      1  34        0         0
#> 123   13.00      1  44        1         0
#> 89.2  11.44      1  NA        0         0
#> 85.1  16.44      1  36        0         0
#> 77     7.27      1  67        0         1
#> 56    12.21      1  60        0         0
#> 158   20.14      1  74        1         0
#> 97.1  19.14      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 56.1  12.21      1  60        0         0
#> 105.1 19.75      1  60        0         0
#> 30.1  17.43      1  78        0         0
#> 93    10.33      1  52        0         1
#> 166   19.98      1  48        0         0
#> 134   17.81      1  47        1         0
#> 117.2 17.46      1  26        0         1
#> 187.1  9.92      1  39        1         0
#> 56.2  12.21      1  60        0         0
#> 107.1 11.18      1  54        1         0
#> 4     17.64      1  NA        0         1
#> 77.1   7.27      1  67        0         1
#> 16.1   8.71      1  71        0         1
#> 5     16.43      1  51        0         1
#> 124.3  9.73      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 130   16.47      1  53        0         1
#> 56.3  12.21      1  60        0         0
#> 42.1  12.43      1  49        0         1
#> 167.1 15.55      1  56        1         0
#> 164.1 23.60      1  76        0         1
#> 69.1  23.23      1  25        0         1
#> 91.1   5.33      1  61        0         1
#> 32    20.90      1  37        1         0
#> 4.1   17.64      1  NA        0         1
#> 16.2   8.71      1  71        0         1
#> 175   21.91      1  43        0         0
#> 167.2 15.55      1  56        1         0
#> 78    23.88      1  43        0         0
#> 29    15.45      1  68        1         0
#> 189.1 10.51      1  NA        1         0
#> 5.1   16.43      1  51        0         1
#> 130.1 16.47      1  53        0         1
#> 52    10.42      1  52        0         1
#> 12    24.00      0  63        0         0
#> 53    24.00      0  32        0         1
#> 152   24.00      0  36        0         1
#> 27    24.00      0  63        1         0
#> 132   24.00      0  55        0         0
#> 173   24.00      0  19        0         1
#> 173.1 24.00      0  19        0         1
#> 131   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 148   24.00      0  61        1         0
#> 163   24.00      0  66        0         0
#> 173.2 24.00      0  19        0         1
#> 84    24.00      0  39        0         1
#> 186   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 11    24.00      0  42        0         1
#> 156   24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 34    24.00      0  36        0         0
#> 146   24.00      0  63        1         0
#> 20    24.00      0  46        1         0
#> 176   24.00      0  43        0         1
#> 126   24.00      0  48        0         0
#> 47    24.00      0  38        0         1
#> 98    24.00      0  34        1         0
#> 53.1  24.00      0  32        0         1
#> 182   24.00      0  35        0         0
#> 74    24.00      0  43        0         1
#> 137   24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 131.1 24.00      0  66        0         0
#> 132.1 24.00      0  55        0         0
#> 27.1  24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 142   24.00      0  53        0         0
#> 64    24.00      0  43        0         0
#> 71    24.00      0  51        0         0
#> 132.2 24.00      0  55        0         0
#> 115   24.00      0  NA        1         0
#> 135   24.00      0  58        1         0
#> 191   24.00      0  60        0         1
#> 142.1 24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 72    24.00      0  40        0         1
#> 193   24.00      0  45        0         1
#> 84.1  24.00      0  39        0         1
#> 82    24.00      0  34        0         0
#> 147   24.00      0  76        1         0
#> 160   24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 72.1  24.00      0  40        0         1
#> 135.1 24.00      0  58        1         0
#> 152.1 24.00      0  36        0         1
#> 33.1  24.00      0  53        0         0
#> 98.1  24.00      0  34        1         0
#> 102   24.00      0  49        0         0
#> 173.3 24.00      0  19        0         1
#> 161   24.00      0  45        0         0
#> 185.1 24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 33.2  24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 118   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 141   24.00      0  44        1         0
#> 173.4 24.00      0  19        0         1
#> 116   24.00      0  58        0         1
#> 95.1  24.00      0  68        0         1
#> 121.1 24.00      0  57        1         0
#> 162   24.00      0  51        0         0
#> 165.1 24.00      0  47        0         0
#> 191.1 24.00      0  60        0         1
#> 19    24.00      0  57        0         1
#> 151   24.00      0  42        0         0
#> 152.2 24.00      0  36        0         1
#> 31    24.00      0  36        0         1
#> 151.1 24.00      0  42        0         0
#> 185.2 24.00      0  44        1         0
#> 115.1 24.00      0  NA        1         0
#> 144   24.00      0  28        0         1
#> 103   24.00      0  56        1         0
#> 148.1 24.00      0  61        1         0
#> 112   24.00      0  61        0         0
#> 95.2  24.00      0  68        0         1
#> 112.1 24.00      0  61        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.515         NA        NA      NA
#> 2 age, Cure model           0.0127        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0341        NA        NA      NA
#> 4 grade_iii, Cure model     0.126         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000543        NA        NA      NA
#> 2 grade_ii, Survival model   0.629           NA        NA      NA
#> 3 grade_iii, Survival model  0.555           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.51460           0.01271          -0.03405           0.12614  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 254 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.51460454       0.01270828      -0.03405160       0.12614413 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0005425628     0.6289739537     0.5547526113 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.94474681 0.76446045 0.22762214 0.64138662 0.36215274 0.63274517
#>   [7] 0.56258824 0.29272492 0.94474681 0.92355677 0.79606444 0.30534656
#>  [13] 0.30534656 0.15575231 0.06567705 0.43642400 0.97953119 0.90182233
#>  [19] 0.67543212 0.06567705 0.35124424 0.86462226 0.68384664 0.32852976
#>  [25] 0.58885123 0.22762214 0.99318275 0.97261522 0.73268893 0.45684233
#>  [31] 0.41531328 0.17211647 0.22762214 0.56258824 0.77242839 0.36215274
#>  [37] 0.51603947 0.69226448 0.55338097 0.52566709 0.81938938 0.45684233
#>  [43] 0.01419387 0.36215274 0.43642400 0.78032809 0.60651466 0.48698795
#>  [49] 0.06567705 0.12199485 0.47696560 0.81167535 0.87218599 0.21405455
#>  [55] 0.52566709 0.74064970 0.90915133 0.74861262 0.74861262 0.80390083
#>  [61] 0.50629095 0.70061058 0.19972038 0.78822891 0.64138662 0.95874980
#>  [67] 0.83454718 0.39396995 0.48698795 0.83454718 0.41531328 0.58885123
#>  [73] 0.89445093 0.40463799 0.54417683 0.56258824 0.90915133 0.83454718
#>  [79] 0.87218599 0.95874980 0.92355677 0.65856202 0.27964513 0.61541588
#>  [85] 0.83454718 0.81938938 0.70061058 0.12199485 0.17211647 0.97953119
#>  [91] 0.34004595 0.92355677 0.26612192 0.70061058 0.03939510 0.72465603
#>  [97] 0.65856202 0.61541588 0.88703718 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   149   133   169    85    68   181   117   139 149.1    16    14   153 153.1 
#>  8.37 14.65 22.41 16.44 20.62 16.46 17.46 21.49  8.37  8.71 12.89 21.33 21.33 
#>   129   168   170    91    61   188 168.1   190    49   100    90    30 169.1 
#> 23.41 23.72 19.54  5.33 10.12 16.16 23.72 20.81 12.19 16.07 20.94 17.43 22.41 
#>   127    25    18    58   105    69 169.2 117.1    60  68.1    51    39   184 
#>  3.53  6.32 15.21 19.34 19.75 23.23 22.41 17.46 13.15 20.62 18.23 15.59 17.77 
#>    40    42    55    24  68.2 170.1   155    23    97 168.2   164    76    37 
#> 18.00 12.43 19.34 23.89 20.62 19.54 13.08 16.92 19.14 23.72 23.60 19.22 12.52 
#>   107    63  40.1   157   187   180 180.1   140     8   167   113   123  85.1 
#> 11.18 22.77 18.00 15.10  9.92 14.82 14.82 12.68 18.43 15.55 22.86 13.00 16.44 
#>    77    56   158  97.1  56.1 105.1  30.1    93   166   134 117.2 187.1  56.2 
#>  7.27 12.21 20.14 19.14 12.21 19.75 17.43 10.33 19.98 17.81 17.46  9.92 12.21 
#> 107.1  77.1  16.1     5   136   130  56.3  42.1 167.1 164.1  69.1  91.1    32 
#> 11.18  7.27  8.71 16.43 21.83 16.47 12.21 12.43 15.55 23.60 23.23  5.33 20.90 
#>  16.2   175 167.2    78    29   5.1 130.1    52    12    53   152    27   132 
#>  8.71 21.91 15.55 23.88 15.45 16.43 16.47 10.42 24.00 24.00 24.00 24.00 24.00 
#>   173 173.1   131   185   196   148   163 173.2    84   186   165    11   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121    34   146    20   176   126    47    98  53.1   182    74   137    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1 132.1  27.1    80   142    64    71 132.2   135   191 142.1   104    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    72   193  84.1    82   147   160   200  72.1 135.1 152.1  33.1  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102 173.3   161 185.1    54  33.2   198   118     7   141 173.4   116  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.1   162 165.1 191.1    19   151 152.2    31 151.1 185.2   144   103 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112  95.2 112.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[40]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01814229                0.15818173                0.53892450 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.39441275              0.02441688             -0.08439108 
#>   grade_iii, Cure model 
#>              1.16706153 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 61    10.12      1  36        0         1
#> 107   11.18      1  54        1         0
#> 128   20.35      1  35        0         1
#> 158   20.14      1  74        1         0
#> 177   12.53      1  75        0         0
#> 16     8.71      1  71        0         1
#> 57    14.46      1  45        0         1
#> 51    18.23      1  83        0         1
#> 61.1  10.12      1  36        0         1
#> 63    22.77      1  31        1         0
#> 23    16.92      1  61        0         0
#> 86    23.81      1  58        0         1
#> 180   14.82      1  37        0         0
#> 14    12.89      1  21        0         0
#> 197   21.60      1  69        1         0
#> 13    14.34      1  54        0         1
#> 123   13.00      1  44        1         0
#> 150   20.33      1  48        0         0
#> 107.1 11.18      1  54        1         0
#> 43    12.10      1  61        0         1
#> 52    10.42      1  52        0         1
#> 66    22.13      1  53        0         0
#> 58    19.34      1  39        0         0
#> 59    10.16      1  NA        1         0
#> 189   10.51      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 180.1 14.82      1  37        0         0
#> 195   11.76      1  NA        1         0
#> 158.1 20.14      1  74        1         0
#> 170   19.54      1  43        0         1
#> 24    23.89      1  38        0         0
#> 69    23.23      1  25        0         1
#> 25     6.32      1  34        1         0
#> 105   19.75      1  60        0         0
#> 43.1  12.10      1  61        0         1
#> 30    17.43      1  78        0         0
#> 63.1  22.77      1  31        1         0
#> 57.1  14.46      1  45        0         1
#> 97.1  19.14      1  65        0         1
#> 127    3.53      1  62        0         1
#> 78    23.88      1  43        0         0
#> 130   16.47      1  53        0         1
#> 140   12.68      1  59        1         0
#> 66.1  22.13      1  53        0         0
#> 59.1  10.16      1  NA        1         0
#> 180.2 14.82      1  37        0         0
#> 114   13.68      1  NA        0         0
#> 26    15.77      1  49        0         1
#> 13.1  14.34      1  54        0         1
#> 157   15.10      1  47        0         0
#> 16.1   8.71      1  71        0         1
#> 90    20.94      1  50        0         1
#> 4     17.64      1  NA        0         1
#> 57.2  14.46      1  45        0         1
#> 13.2  14.34      1  54        0         1
#> 85    16.44      1  36        0         0
#> 76    19.22      1  54        0         1
#> 23.1  16.92      1  61        0         0
#> 134   17.81      1  47        1         0
#> 30.1  17.43      1  78        0         0
#> 150.1 20.33      1  48        0         0
#> 42    12.43      1  49        0         1
#> 150.2 20.33      1  48        0         0
#> 159   10.55      1  50        0         1
#> 14.1  12.89      1  21        0         0
#> 169   22.41      1  46        0         0
#> 136   21.83      1  43        0         1
#> 129   23.41      1  53        1         0
#> 111   17.45      1  47        0         1
#> 18    15.21      1  49        1         0
#> 50    10.02      1  NA        1         0
#> 195.1 11.76      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 159.1 10.55      1  50        0         1
#> 58.1  19.34      1  39        0         0
#> 188   16.16      1  46        0         1
#> 188.1 16.16      1  46        0         1
#> 139   21.49      1  63        1         0
#> 59.2  10.16      1  NA        1         0
#> 130.1 16.47      1  53        0         1
#> 123.1 13.00      1  44        1         0
#> 15    22.68      1  48        0         0
#> 153   21.33      1  55        1         0
#> 90.1  20.94      1  50        0         1
#> 145   10.07      1  65        1         0
#> 129.1 23.41      1  53        1         0
#> 16.2   8.71      1  71        0         1
#> 36    21.19      1  48        0         1
#> 69.1  23.23      1  25        0         1
#> 77     7.27      1  67        0         1
#> 108   18.29      1  39        0         1
#> 187    9.92      1  39        1         0
#> 23.2  16.92      1  61        0         0
#> 85.1  16.44      1  36        0         0
#> 175   21.91      1  43        0         0
#> 36.1  21.19      1  48        0         1
#> 124.1  9.73      1  NA        1         0
#> 195.2 11.76      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 127.1  3.53      1  62        0         1
#> 159.2 10.55      1  50        0         1
#> 150.3 20.33      1  48        0         0
#> 187.1  9.92      1  39        1         0
#> 79    16.23      1  54        1         0
#> 29    15.45      1  68        1         0
#> 43.2  12.10      1  61        0         1
#> 170.1 19.54      1  43        0         1
#> 177.1 12.53      1  75        0         0
#> 16.3   8.71      1  71        0         1
#> 183    9.24      1  67        1         0
#> 158.2 20.14      1  74        1         0
#> 79.1  16.23      1  54        1         0
#> 28    24.00      0  67        1         0
#> 12    24.00      0  63        0         0
#> 165   24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 17    24.00      0  38        0         1
#> 178.1 24.00      0  52        1         0
#> 67    24.00      0  25        0         0
#> 33    24.00      0  53        0         0
#> 28.1  24.00      0  67        1         0
#> 160   24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 163   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 33.1  24.00      0  53        0         0
#> 186   24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 11    24.00      0  42        0         1
#> 162   24.00      0  51        0         0
#> 178.2 24.00      0  52        1         0
#> 148   24.00      0  61        1         0
#> 94    24.00      0  51        0         1
#> 162.1 24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 28.2  24.00      0  67        1         0
#> 75    24.00      0  21        1         0
#> 80    24.00      0  41        0         0
#> 12.1  24.00      0  63        0         0
#> 104   24.00      0  50        1         0
#> 104.1 24.00      0  50        1         0
#> 94.1  24.00      0  51        0         1
#> 172.1 24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 116   24.00      0  58        0         1
#> 112   24.00      0  61        0         0
#> 135   24.00      0  58        1         0
#> 162.2 24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 80.1  24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 146   24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 185.1 24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 165.1 24.00      0  47        0         0
#> 186.1 24.00      0  45        1         0
#> 161   24.00      0  45        0         0
#> 174.1 24.00      0  49        1         0
#> 132.1 24.00      0  55        0         0
#> 103   24.00      0  56        1         0
#> 54    24.00      0  53        1         0
#> 102   24.00      0  49        0         0
#> 146.1 24.00      0  63        1         0
#> 28.3  24.00      0  67        1         0
#> 38    24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 115   24.00      0  NA        1         0
#> 38.1  24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 65    24.00      0  57        1         0
#> 144.1 24.00      0  28        0         1
#> 35    24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 11.1  24.00      0  42        0         1
#> 160.1 24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 152   24.00      0  36        0         1
#> 21    24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 62.1  24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 87    24.00      0  27        0         0
#> 83    24.00      0   6        0         0
#> 186.2 24.00      0  45        1         0
#> 142   24.00      0  53        0         0
#> 17.1  24.00      0  38        0         1
#> 162.3 24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 120.1 24.00      0  68        0         1
#> 132.2 24.00      0  55        0         0
#> 112.1 24.00      0  61        0         0
#> 17.2  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.39          NA        NA      NA
#> 2 age, Cure model           0.0244        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0844        NA        NA      NA
#> 4 grade_iii, Cure model     1.17          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0181        NA        NA      NA
#> 2 grade_ii, Survival model    0.158         NA        NA      NA
#> 3 grade_iii, Survival model   0.539         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.39441           0.02442          -0.08439           1.16706  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 238.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.39441275       0.02441688      -0.08439108       1.16706153 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01814229       0.15818173       0.53892450 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9553005 0.9354581 0.6397311 0.6815983 0.9142029 0.9742154 0.8716655
#>   [8] 0.7624646 0.9553005 0.4345831 0.7894986 0.3097522 0.8590723 0.9028812
#>  [15] 0.5643789 0.8837559 0.8952840 0.6487504 0.9354581 0.9251425 0.9520559
#>  [22] 0.5058229 0.7245431 0.7444968 0.8590723 0.6815983 0.7108584 0.1475749
#>  [29] 0.3943882 0.9915836 0.7035980 0.9251425 0.7791016 0.4345831 0.8716655
#>  [36] 0.7444968 0.9944373 0.2437662 0.8044468 0.9104489 0.5058229 0.8590723
#>  [43] 0.8417204 0.8837559 0.8547936 0.9742154 0.6212414 0.8716655 0.8837559
#>  [50] 0.8140286 0.7379668 0.7894986 0.7680972 0.7791016 0.6487504 0.9215216
#>  [57] 0.6487504 0.9422420 0.9028812 0.4889139 0.5506360 0.3457994 0.7736585
#>  [64] 0.8504859 0.9422420 0.7245431 0.8327608 0.8327608 0.5771586 0.8044468
#>  [71] 0.8952840 0.4712067 0.5892240 0.6212414 0.9616794 0.3457994 0.9742154
#>  [78] 0.6007744 0.3943882 0.9887203 0.7565375 0.9648446 0.7894986 0.8140286
#>  [85] 0.5358843 0.6007744 0.9858167 0.9944373 0.9422420 0.6487504 0.9648446
#>  [92] 0.8235076 0.8461374 0.9251425 0.7108584 0.9142029 0.9742154 0.9711081
#>  [99] 0.6815983 0.8235076 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    61   107   128   158   177    16    57    51  61.1    63    23    86   180 
#> 10.12 11.18 20.35 20.14 12.53  8.71 14.46 18.23 10.12 22.77 16.92 23.81 14.82 
#>    14   197    13   123   150 107.1    43    52    66    58    97 180.1 158.1 
#> 12.89 21.60 14.34 13.00 20.33 11.18 12.10 10.42 22.13 19.34 19.14 14.82 20.14 
#>   170    24    69    25   105  43.1    30  63.1  57.1  97.1   127    78   130 
#> 19.54 23.89 23.23  6.32 19.75 12.10 17.43 22.77 14.46 19.14  3.53 23.88 16.47 
#>   140  66.1 180.2    26  13.1   157  16.1    90  57.2  13.2    85    76  23.1 
#> 12.68 22.13 14.82 15.77 14.34 15.10  8.71 20.94 14.46 14.34 16.44 19.22 16.92 
#>   134  30.1 150.1    42 150.2   159  14.1   169   136   129   111    18 159.1 
#> 17.81 17.43 20.33 12.43 20.33 10.55 12.89 22.41 21.83 23.41 17.45 15.21 10.55 
#>  58.1   188 188.1   139 130.1 123.1    15   153  90.1   145 129.1  16.2    36 
#> 19.34 16.16 16.16 21.49 16.47 13.00 22.68 21.33 20.94 10.07 23.41  8.71 21.19 
#>  69.1    77   108   187  23.2  85.1   175  36.1   149 127.1 159.2 150.3 187.1 
#> 23.23  7.27 18.29  9.92 16.92 16.44 21.91 21.19  8.37  3.53 10.55 20.33  9.92 
#>    79    29  43.2 170.1 177.1  16.3   183 158.2  79.1    28    12   165   178 
#> 16.23 15.45 12.10 19.54 12.53  8.71  9.24 20.14 16.23 24.00 24.00 24.00 24.00 
#>    17 178.1    67    33  28.1   160    48     7   163    19  33.1   186    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151    11   162 178.2   148    94 162.1   172   126   141  28.2    75    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1   104 104.1  94.1 172.1   144   116   112   135 162.2   174  80.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1   132   146   120    62 185.1 165.1 186.1   161 174.1 132.1   103    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102 146.1  28.3    38     2  38.1   196    65 144.1    35    64  11.1 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   152    21  21.1  62.1   121    87    83 186.2   142  17.1 162.3    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1 132.2 112.1  17.2 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[41]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0102253                 1.0382929                 0.8807088 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.85259991              0.01416735              0.36251860 
#>   grade_iii, Cure model 
#>              0.83577472 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 154   12.63      1  20        1         0
#> 86    23.81      1  58        0         1
#> 117   17.46      1  26        0         1
#> 179   18.63      1  42        0         0
#> 127    3.53      1  62        0         1
#> 166   19.98      1  48        0         0
#> 197   21.60      1  69        1         0
#> 188   16.16      1  46        0         1
#> 39    15.59      1  37        0         1
#> 91     5.33      1  61        0         1
#> 108   18.29      1  39        0         1
#> 23    16.92      1  61        0         0
#> 85    16.44      1  36        0         0
#> 111   17.45      1  47        0         1
#> 88    18.37      1  47        0         0
#> 66    22.13      1  53        0         0
#> 58    19.34      1  39        0         0
#> 90    20.94      1  50        0         1
#> 100   16.07      1  60        0         0
#> 51    18.23      1  83        0         1
#> 76    19.22      1  54        0         1
#> 55    19.34      1  69        0         1
#> 59    10.16      1  NA        1         0
#> 86.1  23.81      1  58        0         1
#> 125   15.65      1  67        1         0
#> 183    9.24      1  67        1         0
#> 26    15.77      1  49        0         1
#> 113   22.86      1  34        0         0
#> 40    18.00      1  28        1         0
#> 117.1 17.46      1  26        0         1
#> 113.1 22.86      1  34        0         0
#> 134   17.81      1  47        1         0
#> 175   21.91      1  43        0         0
#> 192   16.44      1  31        1         0
#> 88.1  18.37      1  47        0         0
#> 127.1  3.53      1  62        0         1
#> 199   19.81      1  NA        0         1
#> 108.1 18.29      1  39        0         1
#> 181   16.46      1  45        0         1
#> 117.2 17.46      1  26        0         1
#> 154.1 12.63      1  20        1         0
#> 70     7.38      1  30        1         0
#> 15    22.68      1  48        0         0
#> 139   21.49      1  63        1         0
#> 36    21.19      1  48        0         1
#> 155   13.08      1  26        0         0
#> 18    15.21      1  49        1         0
#> 25     6.32      1  34        1         0
#> 123   13.00      1  44        1         0
#> 168   23.72      1  70        0         0
#> 134.1 17.81      1  47        1         0
#> 41    18.02      1  40        1         0
#> 106   16.67      1  49        1         0
#> 88.2  18.37      1  47        0         0
#> 26.1  15.77      1  49        0         1
#> 140   12.68      1  59        1         0
#> 108.2 18.29      1  39        0         1
#> 51.1  18.23      1  83        0         1
#> 56    12.21      1  60        0         0
#> 40.1  18.00      1  28        1         0
#> 184   17.77      1  38        0         0
#> 129   23.41      1  53        1         0
#> 124    9.73      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 183.1  9.24      1  67        1         0
#> 183.2  9.24      1  67        1         0
#> 183.3  9.24      1  67        1         0
#> 127.2  3.53      1  62        0         1
#> 66.1  22.13      1  53        0         0
#> 97    19.14      1  65        0         1
#> 113.2 22.86      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 153   21.33      1  55        1         0
#> 149    8.37      1  33        1         0
#> 24    23.89      1  38        0         0
#> 199.1 19.81      1  NA        0         1
#> 16     8.71      1  71        0         1
#> 154.2 12.63      1  20        1         0
#> 45    17.42      1  54        0         1
#> 190   20.81      1  42        1         0
#> 158.1 20.14      1  74        1         0
#> 195   11.76      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 32    20.90      1  37        1         0
#> 66.2  22.13      1  53        0         0
#> 86.2  23.81      1  58        0         1
#> 190.1 20.81      1  42        1         0
#> 150   20.33      1  48        0         0
#> 51.2  18.23      1  83        0         1
#> 192.1 16.44      1  31        1         0
#> 78    23.88      1  43        0         0
#> 60    13.15      1  38        1         0
#> 37    12.52      1  57        1         0
#> 140.1 12.68      1  59        1         0
#> 110   17.56      1  65        0         1
#> 18.1  15.21      1  49        1         0
#> 59.1  10.16      1  NA        1         0
#> 127.3  3.53      1  62        0         1
#> 90.1  20.94      1  50        0         1
#> 15.1  22.68      1  48        0         0
#> 91.1   5.33      1  61        0         1
#> 171   16.57      1  41        0         1
#> 197.1 21.60      1  69        1         0
#> 100.1 16.07      1  60        0         0
#> 40.2  18.00      1  28        1         0
#> 188.1 16.16      1  46        0         1
#> 169   22.41      1  46        0         0
#> 93    10.33      1  52        0         1
#> 59.2  10.16      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 40.3  18.00      1  28        1         0
#> 66.3  22.13      1  53        0         0
#> 200   24.00      0  64        0         0
#> 185   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 3     24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 31    24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 116   24.00      0  58        0         1
#> 87    24.00      0  27        0         0
#> 112   24.00      0  61        0         0
#> 33    24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 138   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 112.1 24.00      0  61        0         0
#> 87.1  24.00      0  27        0         0
#> 11    24.00      0  42        0         1
#> 80    24.00      0  41        0         0
#> 80.1  24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 162   24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 131   24.00      0  66        0         0
#> 48.1  24.00      0  31        1         0
#> 131.1 24.00      0  66        0         0
#> 28    24.00      0  67        1         0
#> 173   24.00      0  19        0         1
#> 48.2  24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 75.1  24.00      0  21        1         0
#> 198   24.00      0  66        0         1
#> 19    24.00      0  57        0         1
#> 82    24.00      0  34        0         0
#> 144   24.00      0  28        0         1
#> 151   24.00      0  42        0         0
#> 19.1  24.00      0  57        0         1
#> 104   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 144.1 24.00      0  28        0         1
#> 80.2  24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 138.1 24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 174   24.00      0  49        1         0
#> 9     24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 137.1 24.00      0  45        1         0
#> 172   24.00      0  41        0         0
#> 146   24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 87.2  24.00      0  27        0         0
#> 163   24.00      0  66        0         0
#> 19.2  24.00      0  57        0         1
#> 142   24.00      0  53        0         0
#> 160   24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 75.2  24.00      0  21        1         0
#> 73    24.00      0  NA        0         1
#> 182   24.00      0  35        0         0
#> 121   24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 1.1   24.00      0  23        1         0
#> 53    24.00      0  32        0         1
#> 71    24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 165   24.00      0  47        0         0
#> 112.2 24.00      0  61        0         0
#> 73.1  24.00      0  NA        0         1
#> 172.1 24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 138.2 24.00      0  44        1         0
#> 28.1  24.00      0  67        1         0
#> 120   24.00      0  68        0         1
#> 84.1  24.00      0  39        0         1
#> 156   24.00      0  50        1         0
#> 33.1  24.00      0  53        0         0
#> 172.2 24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 142.1 24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 3.1   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.853         NA        NA      NA
#> 2 age, Cure model           0.0142        NA        NA      NA
#> 3 grade_ii, Cure model      0.363         NA        NA      NA
#> 4 grade_iii, Cure model     0.836         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0102        NA        NA      NA
#> 2 grade_ii, Survival model    1.04          NA        NA      NA
#> 3 grade_iii, Survival model   0.881         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.85260           0.01417           0.36252           0.83577  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 253 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.85259991       0.01416735       0.36251860       0.83577472 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0102253        1.0382929        0.8807088 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.844948620 0.034496959 0.608939231 0.418694092 0.971575487 0.364904573
#>   [7] 0.212177439 0.722136808 0.780509585 0.957138690 0.461989194 0.653198541
#>  [13] 0.697051789 0.635446502 0.429491594 0.147967660 0.375753946 0.276634532
#>  [19] 0.738762048 0.493131782 0.397223703 0.375753946 0.034496959 0.772188547
#>  [25] 0.898169118 0.755560649 0.082336143 0.534599212 0.608939231 0.082336143
#>  [31] 0.571808969 0.197935609 0.697051789 0.429491594 0.971575487 0.461989194
#>  [37] 0.688397988 0.608939231 0.844948620 0.942526559 0.112640668 0.238369950
#>  [43] 0.264204398 0.813040176 0.788773129 0.949860581 0.821125600 0.060615933
#>  [49] 0.571808969 0.524211201 0.662106810 0.429491594 0.755560649 0.829147746
#>  [55] 0.461989194 0.493131782 0.875327586 0.534599212 0.590270827 0.071998661
#>  [61] 0.343768496 0.898169118 0.898169118 0.898169118 0.971575487 0.147967660
#>  [67] 0.407992950 0.082336143 0.251489187 0.935130482 0.003705203 0.927674523
#>  [73] 0.844948620 0.644346298 0.311522463 0.343768496 0.890593392 0.300019964
#>  [79] 0.147967660 0.034496959 0.311522463 0.332810432 0.493131782 0.697051789
#>  [85] 0.016193266 0.804973481 0.867711415 0.829147746 0.599622550 0.788773129
#>  [91] 0.971575487 0.276634532 0.112640668 0.957138690 0.670930638 0.212177439
#>  [97] 0.738762048 0.534599212 0.722136808 0.135563611 0.882974267 0.679686937
#> [103] 0.534599212 0.147967660 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   154    86   117   179   127   166   197   188    39    91   108    23    85 
#> 12.63 23.81 17.46 18.63  3.53 19.98 21.60 16.16 15.59  5.33 18.29 16.92 16.44 
#>   111    88    66    58    90   100    51    76    55  86.1   125   183    26 
#> 17.45 18.37 22.13 19.34 20.94 16.07 18.23 19.22 19.34 23.81 15.65  9.24 15.77 
#>   113    40 117.1 113.1   134   175   192  88.1 127.1 108.1   181 117.2 154.1 
#> 22.86 18.00 17.46 22.86 17.81 21.91 16.44 18.37  3.53 18.29 16.46 17.46 12.63 
#>    70    15   139    36   155    18    25   123   168 134.1    41   106  88.2 
#>  7.38 22.68 21.49 21.19 13.08 15.21  6.32 13.00 23.72 17.81 18.02 16.67 18.37 
#>  26.1   140 108.2  51.1    56  40.1   184   129   158 183.1 183.2 183.3 127.2 
#> 15.77 12.68 18.29 18.23 12.21 18.00 17.77 23.41 20.14  9.24  9.24  9.24  3.53 
#>  66.1    97 113.2   153   149    24    16 154.2    45   190 158.1    61    32 
#> 22.13 19.14 22.86 21.33  8.37 23.89  8.71 12.63 17.42 20.81 20.14 10.12 20.90 
#>  66.2  86.2 190.1   150  51.2 192.1    78    60    37 140.1   110  18.1 127.3 
#> 22.13 23.81 20.81 20.33 18.23 16.44 23.88 13.15 12.52 12.68 17.56 15.21  3.53 
#>  90.1  15.1  91.1   171 197.1 100.1  40.2 188.1   169    93   130  40.3  66.3 
#> 20.94 22.68  5.33 16.57 21.60 16.07 18.00 16.16 22.41 10.33 16.47 18.00 22.13 
#>   200   185    27     3    65   137    31    75   116    87   112    33    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138    48   109 112.1  87.1    11    80  80.1    20   162   131  48.1 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   173  48.2     1  75.1   198    19    82   144   151  19.1   104   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1  80.2   141    38    22 138.1  20.1   174     9   143    44 137.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    17  87.2   163  19.2   142   160    84  75.2   182   121   191   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    71    62    95   165 112.2 172.1    64 138.2  28.1   120  84.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1 172.2   122 142.1   152    46   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[42]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009785648               0.829134565               0.619354538 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.51888592              0.01221137             -0.28762008 
#>   grade_iii, Cure model 
#>              0.83972562 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 187    9.92      1  39        1         0
#> 57    14.46      1  45        0         1
#> 157   15.10      1  47        0         0
#> 60    13.15      1  38        1         0
#> 89    11.44      1  NA        0         0
#> 25     6.32      1  34        1         0
#> 77     7.27      1  67        0         1
#> 187.1  9.92      1  39        1         0
#> 79    16.23      1  54        1         0
#> 45    17.42      1  54        0         1
#> 169   22.41      1  46        0         0
#> 55    19.34      1  69        0         1
#> 10    10.53      1  34        0         0
#> 93    10.33      1  52        0         1
#> 91     5.33      1  61        0         1
#> 29    15.45      1  68        1         0
#> 49    12.19      1  48        1         0
#> 153   21.33      1  55        1         0
#> 130   16.47      1  53        0         1
#> 145   10.07      1  65        1         0
#> 166   19.98      1  48        0         0
#> 45.1  17.42      1  54        0         1
#> 134   17.81      1  47        1         0
#> 90    20.94      1  50        0         1
#> 197   21.60      1  69        1         0
#> 68    20.62      1  44        0         0
#> 8     18.43      1  32        0         0
#> 199   19.81      1  NA        0         1
#> 77.1   7.27      1  67        0         1
#> 91.1   5.33      1  61        0         1
#> 130.1 16.47      1  53        0         1
#> 108   18.29      1  39        0         1
#> 23    16.92      1  61        0         0
#> 124    9.73      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 92    22.92      1  47        0         1
#> 70     7.38      1  30        1         0
#> 58    19.34      1  39        0         0
#> 37    12.52      1  57        1         0
#> 107   11.18      1  54        1         0
#> 179   18.63      1  42        0         0
#> 136   21.83      1  43        0         1
#> 76    19.22      1  54        0         1
#> 166.1 19.98      1  48        0         0
#> 5     16.43      1  51        0         1
#> 190   20.81      1  42        1         0
#> 23.1  16.92      1  61        0         0
#> 55.1  19.34      1  69        0         1
#> 101    9.97      1  10        0         1
#> 179.1 18.63      1  42        0         0
#> 16     8.71      1  71        0         1
#> 184   17.77      1  38        0         0
#> 179.2 18.63      1  42        0         0
#> 30    17.43      1  78        0         0
#> 180.1 14.82      1  37        0         0
#> 113   22.86      1  34        0         0
#> 55.2  19.34      1  69        0         1
#> 130.2 16.47      1  53        0         1
#> 16.1   8.71      1  71        0         1
#> 55.3  19.34      1  69        0         1
#> 96    14.54      1  33        0         1
#> 154   12.63      1  20        1         0
#> 77.2   7.27      1  67        0         1
#> 15    22.68      1  48        0         0
#> 170   19.54      1  43        0         1
#> 169.1 22.41      1  46        0         0
#> 6     15.64      1  39        0         0
#> 127    3.53      1  62        0         1
#> 150   20.33      1  48        0         0
#> 25.1   6.32      1  34        1         0
#> 14    12.89      1  21        0         0
#> 168   23.72      1  70        0         0
#> 157.1 15.10      1  47        0         0
#> 108.1 18.29      1  39        0         1
#> 39    15.59      1  37        0         1
#> 105   19.75      1  60        0         0
#> 30.1  17.43      1  78        0         0
#> 184.1 17.77      1  38        0         0
#> 101.1  9.97      1  10        0         1
#> 100   16.07      1  60        0         0
#> 154.1 12.63      1  20        1         0
#> 25.2   6.32      1  34        1         0
#> 96.1  14.54      1  33        0         1
#> 159   10.55      1  50        0         1
#> 130.3 16.47      1  53        0         1
#> 171   16.57      1  41        0         1
#> 42    12.43      1  49        0         1
#> 167   15.55      1  56        1         0
#> 41    18.02      1  40        1         0
#> 23.2  16.92      1  61        0         0
#> 159.1 10.55      1  50        0         1
#> 188   16.16      1  46        0         1
#> 96.2  14.54      1  33        0         1
#> 43    12.10      1  61        0         1
#> 30.2  17.43      1  78        0         0
#> 181   16.46      1  45        0         1
#> 50    10.02      1  NA        1         0
#> 188.1 16.16      1  46        0         1
#> 113.1 22.86      1  34        0         0
#> 136.1 21.83      1  43        0         1
#> 90.1  20.94      1  50        0         1
#> 111   17.45      1  47        0         1
#> 117   17.46      1  26        0         1
#> 188.2 16.16      1  46        0         1
#> 123   13.00      1  44        1         0
#> 153.1 21.33      1  55        1         0
#> 110   17.56      1  65        0         1
#> 4     17.64      1  NA        0         1
#> 130.4 16.47      1  53        0         1
#> 18    15.21      1  49        1         0
#> 187.2  9.92      1  39        1         0
#> 32    20.90      1  37        1         0
#> 161   24.00      0  45        0         0
#> 120   24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 144   24.00      0  28        0         1
#> 138   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 144.1 24.00      0  28        0         1
#> 20    24.00      0  46        1         0
#> 20.1  24.00      0  46        1         0
#> 38    24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 103   24.00      0  56        1         0
#> 137   24.00      0  45        1         0
#> 156   24.00      0  50        1         0
#> 20.2  24.00      0  46        1         0
#> 11    24.00      0  42        0         1
#> 174   24.00      0  49        1         0
#> 119   24.00      0  17        0         0
#> 74    24.00      0  43        0         1
#> 31    24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 121   24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 115   24.00      0  NA        1         0
#> 126   24.00      0  48        0         0
#> 126.1 24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 31.1  24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 115.1 24.00      0  NA        1         0
#> 121.1 24.00      0  57        1         0
#> 161.1 24.00      0  45        0         0
#> 120.1 24.00      0  68        0         1
#> 31.2  24.00      0  36        0         1
#> 35.1  24.00      0  51        0         0
#> 138.1 24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 165   24.00      0  47        0         0
#> 44    24.00      0  56        0         0
#> 28    24.00      0  67        1         0
#> 162   24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 161.2 24.00      0  45        0         0
#> 137.1 24.00      0  45        1         0
#> 165.1 24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 142   24.00      0  53        0         0
#> 83    24.00      0   6        0         0
#> 182   24.00      0  35        0         0
#> 156.1 24.00      0  50        1         0
#> 94    24.00      0  51        0         1
#> 47    24.00      0  38        0         1
#> 109.1 24.00      0  48        0         0
#> 118   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 12    24.00      0  63        0         0
#> 31.3  24.00      0  36        0         1
#> 142.1 24.00      0  53        0         0
#> 121.2 24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 176   24.00      0  43        0         1
#> 1     24.00      0  23        1         0
#> 71    24.00      0  51        0         0
#> 161.3 24.00      0  45        0         0
#> 151   24.00      0  42        0         0
#> 144.2 24.00      0  28        0         1
#> 20.3  24.00      0  46        1         0
#> 22.1  24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 44.1  24.00      0  56        0         0
#> 118.1 24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 75.1  24.00      0  21        1         0
#> 34    24.00      0  36        0         0
#> 193   24.00      0  45        0         1
#> 115.2 24.00      0  NA        1         0
#> 173   24.00      0  19        0         1
#> 73.1  24.00      0  NA        0         1
#> 44.2  24.00      0  56        0         0
#> 152   24.00      0  36        0         1
#> 120.2 24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 103.1 24.00      0  56        1         0
#> 118.2 24.00      0  44        1         0
#> 28.1  24.00      0  67        1         0
#> 193.1 24.00      0  45        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.519         NA        NA      NA
#> 2 age, Cure model           0.0122        NA        NA      NA
#> 3 grade_ii, Cure model     -0.288         NA        NA      NA
#> 4 grade_iii, Cure model     0.840         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00979        NA        NA      NA
#> 2 grade_ii, Survival model   0.829          NA        NA      NA
#> 3 grade_iii, Survival model  0.619          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.51889           0.01221          -0.28762           0.83973  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    260.4 
#> Residual Deviance: 248.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.51888592       0.01221137      -0.28762008       0.83972562 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009785648      0.829134565      0.619354538 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.869441104 0.702859743 0.635399605 0.712506896 0.948387643 0.922195185
#>   [7] 0.869441104 0.538597433 0.411860060 0.043373582 0.204291498 0.824016852
#>  [13] 0.833195958 0.974123271 0.616074028 0.778199851 0.094959613 0.471098879
#>  [19] 0.842363265 0.166866311 0.411860060 0.325656772 0.113359610 0.084554835
#>  [25] 0.148981905 0.286805825 0.922195185 0.974123271 0.471098879 0.296774983
#>  [31] 0.431300734 0.654731193 0.009611494 0.913389393 0.204291498 0.759647912
#>  [37] 0.796637572 0.258184009 0.064648228 0.248639134 0.166866311 0.528735493
#>  [43] 0.140314848 0.431300734 0.204291498 0.851509376 0.258184009 0.895742768
#>  [49] 0.335150780 0.258184009 0.382917728 0.654731193 0.017449066 0.204291498
#>  [55] 0.471098879 0.895742768 0.204291498 0.674237764 0.741122504 0.922195185
#>  [61] 0.033188041 0.194785008 0.043373582 0.586761478 0.991349899 0.157829127
#>  [67] 0.948387643 0.731589198 0.001322068 0.635399605 0.296774983 0.596580739
#>  [73] 0.185175614 0.382917728 0.335150780 0.851509376 0.576994077 0.741122504
#>  [79] 0.948387643 0.674237764 0.805817946 0.471098879 0.461024128 0.768932279
#>  [85] 0.606352811 0.316037555 0.431300734 0.805817946 0.548396436 0.674237764
#>  [91] 0.787419935 0.382917728 0.518849990 0.548396436 0.017449066 0.064648228
#>  [97] 0.113359610 0.373410523 0.363861312 0.548396436 0.722078913 0.094959613
#> [103] 0.354200460 0.471098879 0.625768040 0.869441104 0.131360954 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   187    57   157    60    25    77 187.1    79    45   169    55    10    93 
#>  9.92 14.46 15.10 13.15  6.32  7.27  9.92 16.23 17.42 22.41 19.34 10.53 10.33 
#>    91    29    49   153   130   145   166  45.1   134    90   197    68     8 
#>  5.33 15.45 12.19 21.33 16.47 10.07 19.98 17.42 17.81 20.94 21.60 20.62 18.43 
#>  77.1  91.1 130.1   108    23   180    92    70    58    37   107   179   136 
#>  7.27  5.33 16.47 18.29 16.92 14.82 22.92  7.38 19.34 12.52 11.18 18.63 21.83 
#>    76 166.1     5   190  23.1  55.1   101 179.1    16   184 179.2    30 180.1 
#> 19.22 19.98 16.43 20.81 16.92 19.34  9.97 18.63  8.71 17.77 18.63 17.43 14.82 
#>   113  55.2 130.2  16.1  55.3    96   154  77.2    15   170 169.1     6   127 
#> 22.86 19.34 16.47  8.71 19.34 14.54 12.63  7.27 22.68 19.54 22.41 15.64  3.53 
#>   150  25.1    14   168 157.1 108.1    39   105  30.1 184.1 101.1   100 154.1 
#> 20.33  6.32 12.89 23.72 15.10 18.29 15.59 19.75 17.43 17.77  9.97 16.07 12.63 
#>  25.2  96.1   159 130.3   171    42   167    41  23.2 159.1   188  96.2    43 
#>  6.32 14.54 10.55 16.47 16.57 12.43 15.55 18.02 16.92 10.55 16.16 14.54 12.10 
#>  30.2   181 188.1 113.1 136.1  90.1   111   117 188.2   123 153.1   110 130.4 
#> 17.43 16.46 16.16 22.86 21.83 20.94 17.45 17.46 16.16 13.00 21.33 17.56 16.47 
#>    18 187.2    32   161   120   104   144   138    35 144.1    20  20.1    38 
#> 15.21  9.92 20.90 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   103   137   156  20.2    11   174   119    74    31    75   121   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 126.1   163  31.1   132 121.1 161.1 120.1  31.2  35.1 138.1   165    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   162   131 161.2 137.1 165.1   109    98   142    83   182 156.1    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47 109.1   118    22    64    12  31.3 142.1 121.2   186   176     1    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.3   151 144.2  20.3  22.1    33  44.1 118.1 186.1  75.1    34   193   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.2   152 120.2   147 103.1 118.2  28.1 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[43]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003988377               0.540465981               0.115744701 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.650569476             0.009814712             0.416774287 
#>   grade_iii, Cure model 
#>             0.882821250 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 29    15.45      1  68        1         0
#> 155   13.08      1  26        0         0
#> 123   13.00      1  44        1         0
#> 107   11.18      1  54        1         0
#> 136   21.83      1  43        0         1
#> 179   18.63      1  42        0         0
#> 70     7.38      1  30        1         0
#> 58    19.34      1  39        0         0
#> 183    9.24      1  67        1         0
#> 183.1  9.24      1  67        1         0
#> 49    12.19      1  48        1         0
#> 197   21.60      1  69        1         0
#> 129   23.41      1  53        1         0
#> 93    10.33      1  52        0         1
#> 86    23.81      1  58        0         1
#> 105   19.75      1  60        0         0
#> 166   19.98      1  48        0         0
#> 171   16.57      1  41        0         1
#> 97    19.14      1  65        0         1
#> 29.1  15.45      1  68        1         0
#> 29.2  15.45      1  68        1         0
#> 184   17.77      1  38        0         0
#> 30    17.43      1  78        0         0
#> 175   21.91      1  43        0         0
#> 37    12.52      1  57        1         0
#> 192   16.44      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 43    12.10      1  61        0         1
#> 92    22.92      1  47        0         1
#> 154   12.63      1  20        1         0
#> 56    12.21      1  60        0         0
#> 88    18.37      1  47        0         0
#> 69    23.23      1  25        0         1
#> 197.1 21.60      1  69        1         0
#> 45    17.42      1  54        0         1
#> 16     8.71      1  71        0         1
#> 15    22.68      1  48        0         0
#> 155.1 13.08      1  26        0         0
#> 96    14.54      1  33        0         1
#> 192.1 16.44      1  31        1         0
#> 170   19.54      1  43        0         1
#> 149    8.37      1  33        1         0
#> 111   17.45      1  47        0         1
#> 127    3.53      1  62        0         1
#> 24    23.89      1  38        0         0
#> 32    20.90      1  37        1         0
#> 23    16.92      1  61        0         0
#> 5     16.43      1  51        0         1
#> 190   20.81      1  42        1         0
#> 16.1   8.71      1  71        0         1
#> 66    22.13      1  53        0         0
#> 81    14.06      1  34        0         0
#> 105.1 19.75      1  60        0         0
#> 153   21.33      1  55        1         0
#> 125   15.65      1  67        1         0
#> 69.1  23.23      1  25        0         1
#> 59    10.16      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 169   22.41      1  46        0         0
#> 194   22.40      1  38        0         1
#> 32.1  20.90      1  37        1         0
#> 92.1  22.92      1  47        0         1
#> 154.1 12.63      1  20        1         0
#> 13    14.34      1  54        0         1
#> 5.1   16.43      1  51        0         1
#> 69.2  23.23      1  25        0         1
#> 127.1  3.53      1  62        0         1
#> 179.1 18.63      1  42        0         0
#> 139   21.49      1  63        1         0
#> 29.3  15.45      1  68        1         0
#> 170.1 19.54      1  43        0         1
#> 29.4  15.45      1  68        1         0
#> 100   16.07      1  60        0         0
#> 194.1 22.40      1  38        0         1
#> 184.1 17.77      1  38        0         0
#> 157   15.10      1  47        0         0
#> 180   14.82      1  37        0         0
#> 107.1 11.18      1  54        1         0
#> 4     17.64      1  NA        0         1
#> 42    12.43      1  49        0         1
#> 36    21.19      1  48        0         1
#> 96.1  14.54      1  33        0         1
#> 189   10.51      1  NA        1         0
#> 183.2  9.24      1  67        1         0
#> 79    16.23      1  54        1         0
#> 106   16.67      1  49        1         0
#> 139.1 21.49      1  63        1         0
#> 81.1  14.06      1  34        0         0
#> 59.1  10.16      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 86.1  23.81      1  58        0         1
#> 149.1  8.37      1  33        1         0
#> 133   14.65      1  57        0         0
#> 197.2 21.60      1  69        1         0
#> 10    10.53      1  34        0         0
#> 90    20.94      1  50        0         1
#> 78.1  23.88      1  43        0         0
#> 59.2  10.16      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 91     5.33      1  61        0         1
#> 101    9.97      1  10        0         1
#> 145   10.07      1  65        1         0
#> 169.1 22.41      1  46        0         0
#> 133.1 14.65      1  57        0         0
#> 14    12.89      1  21        0         0
#> 10.1  10.53      1  34        0         0
#> 159   10.55      1  50        0         1
#> 114   13.68      1  NA        0         0
#> 89.1  11.44      1  NA        0         0
#> 41    18.02      1  40        1         0
#> 183.3  9.24      1  67        1         0
#> 175.1 21.91      1  43        0         0
#> 132   24.00      0  55        0         0
#> 186   24.00      0  45        1         0
#> 87    24.00      0  27        0         0
#> 11    24.00      0  42        0         1
#> 131   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 196   24.00      0  19        0         0
#> 196.1 24.00      0  19        0         0
#> 196.2 24.00      0  19        0         0
#> 104   24.00      0  50        1         0
#> 74    24.00      0  43        0         1
#> 116   24.00      0  58        0         1
#> 1     24.00      0  23        1         0
#> 102   24.00      0  49        0         0
#> 46    24.00      0  71        0         0
#> 138   24.00      0  44        1         0
#> 196.3 24.00      0  19        0         0
#> 200   24.00      0  64        0         0
#> 34    24.00      0  36        0         0
#> 20    24.00      0  46        1         0
#> 80    24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 116.1 24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 160   24.00      0  31        1         0
#> 46.1  24.00      0  71        0         0
#> 163   24.00      0  66        0         0
#> 104.1 24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 152   24.00      0  36        0         1
#> 33.1  24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 174.1 24.00      0  49        1         0
#> 146   24.00      0  63        1         0
#> 9     24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 142   24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 19    24.00      0  57        0         1
#> 11.1  24.00      0  42        0         1
#> 126   24.00      0  48        0         0
#> 34.1  24.00      0  36        0         0
#> 1.1   24.00      0  23        1         0
#> 35    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 138.1 24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 185   24.00      0  44        1         0
#> 12.1  24.00      0  63        0         0
#> 109   24.00      0  48        0         0
#> 67.1  24.00      0  25        0         0
#> 185.1 24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 64    24.00      0  43        0         0
#> 74.1  24.00      0  43        0         1
#> 148   24.00      0  61        1         0
#> 31.1  24.00      0  36        0         1
#> 95    24.00      0  68        0         1
#> 104.2 24.00      0  50        1         0
#> 156   24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 104.3 24.00      0  50        1         0
#> 162.1 24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 3     24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 27    24.00      0  63        1         0
#> 33.2  24.00      0  53        0         0
#> 64.1  24.00      0  43        0         0
#> 120   24.00      0  68        0         1
#> 115.1 24.00      0  NA        1         0
#> 104.4 24.00      0  50        1         0
#> 47    24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 3.1   24.00      0  31        1         0
#> 62.1  24.00      0  71        0         0
#> 112   24.00      0  61        0         0
#> 67.2  24.00      0  25        0         0
#> 17    24.00      0  38        0         1
#> 62.2  24.00      0  71        0         0
#> 74.2  24.00      0  43        0         1
#> 119   24.00      0  17        0         0
#> 62.3  24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.651          NA        NA      NA
#> 2 age, Cure model          0.00981        NA        NA      NA
#> 3 grade_ii, Cure model     0.417          NA        NA      NA
#> 4 grade_iii, Cure model    0.883          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00399        NA        NA      NA
#> 2 grade_ii, Survival model   0.540          NA        NA      NA
#> 3 grade_iii, Survival model  0.116          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.650569          0.009815          0.416774          0.882821  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 255.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.650569476      0.009814712      0.416774287      0.882821250 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003988377      0.540465981      0.115744701 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.69817397 0.79782050 0.81191578 0.87365125 0.33250019 0.52241540
#>   [7] 0.97566176 0.50423514 0.92609570 0.92609570 0.86017285 0.34549339
#>  [13] 0.13687720 0.90653302 0.09998263 0.46772099 0.45834289 0.62622147
#>  [19] 0.51336188 0.69817397 0.69817397 0.56670536 0.59240987 0.30669281
#>  [25] 0.83969880 0.64277700 0.86692336 0.19687974 0.82593957 0.85336469
#>  [31] 0.54025384 0.15399031 0.34549339 0.60094547 0.95095251 0.22512537
#>  [37] 0.79782050 0.76237608 0.64277700 0.48609209 0.96338305 0.58382915
#>  [43] 0.98789063 0.02405416 0.42987708 0.60943376 0.65880358 0.44892414
#>  [49] 0.95095251 0.29329071 0.78369797 0.46772099 0.39936963 0.69042553
#>  [55] 0.15399031 0.05680792 0.23952476 0.26682113 0.42987708 0.19687974
#>  [61] 0.82593957 0.77658591 0.65880358 0.15399031 0.98789063 0.52241540
#>  [67] 0.37851075 0.69817397 0.48609209 0.69817397 0.68256750 0.26682113
#>  [73] 0.56670536 0.73365634 0.74087953 0.87365125 0.84654181 0.40962997
#>  [79] 0.76237608 0.92609570 0.67468493 0.61788960 0.37851075 0.78369797
#>  [85] 0.63451778 0.09998263 0.96338305 0.74809154 0.34549339 0.89342117
#>  [91] 0.41979874 0.05680792 0.55803461 0.98178442 0.91959905 0.91309466
#>  [97] 0.23952476 0.74809154 0.81893030 0.89342117 0.88682690 0.54921716
#> [103] 0.92609570 0.30669281 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    29   155   123   107   136   179    70    58   183 183.1    49   197   129 
#> 15.45 13.08 13.00 11.18 21.83 18.63  7.38 19.34  9.24  9.24 12.19 21.60 23.41 
#>    93    86   105   166   171    97  29.1  29.2   184    30   175    37   192 
#> 10.33 23.81 19.75 19.98 16.57 19.14 15.45 15.45 17.77 17.43 21.91 12.52 16.44 
#>    43    92   154    56    88    69 197.1    45    16    15 155.1    96 192.1 
#> 12.10 22.92 12.63 12.21 18.37 23.23 21.60 17.42  8.71 22.68 13.08 14.54 16.44 
#>   170   149   111   127    24    32    23     5   190  16.1    66    81 105.1 
#> 19.54  8.37 17.45  3.53 23.89 20.90 16.92 16.43 20.81  8.71 22.13 14.06 19.75 
#>   153   125  69.1    78   169   194  32.1  92.1 154.1    13   5.1  69.2 127.1 
#> 21.33 15.65 23.23 23.88 22.41 22.40 20.90 22.92 12.63 14.34 16.43 23.23  3.53 
#> 179.1   139  29.3 170.1  29.4   100 194.1 184.1   157   180 107.1    42    36 
#> 18.63 21.49 15.45 19.54 15.45 16.07 22.40 17.77 15.10 14.82 11.18 12.43 21.19 
#>  96.1 183.2    79   106 139.1  81.1   181  86.1 149.1   133 197.2    10    90 
#> 14.54  9.24 16.23 16.67 21.49 14.06 16.46 23.81  8.37 14.65 21.60 10.53 20.94 
#>  78.1   134    91   101   145 169.1 133.1    14  10.1   159    41 183.3 175.1 
#> 23.88 17.81  5.33  9.97 10.07 22.41 14.65 12.89 10.53 10.55 18.02  9.24 21.91 
#>   132   186    87    11   131   174   196 196.1 196.2   104    74   116     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102    46   138 196.3   200    34    20    80   141    33 116.1    12   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1   163 104.1   137   152  33.1    44 174.1   146     9 160.1   151   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    19  11.1   126  34.1   1.1    35    31    94 138.1   121   185  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109  67.1 185.1  20.1    64  74.1   148  31.1    95 104.2   156   162 104.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1  35.1     3    62    27  33.2  64.1   120 104.4    47    72   3.1  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112  67.2    17  62.2  74.2   119  62.3    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[44]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01130097                0.42178762                0.17293475 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.94701146              0.01669533              0.36252598 
#>   grade_iii, Cure model 
#>              0.55458130 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 128   20.35      1  35        0         1
#> 133   14.65      1  57        0         0
#> 59    10.16      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 92    22.92      1  47        0         1
#> 183    9.24      1  67        1         0
#> 187    9.92      1  39        1         0
#> 128.1 20.35      1  35        0         1
#> 70     7.38      1  30        1         0
#> 168   23.72      1  70        0         0
#> 145   10.07      1  65        1         0
#> 58    19.34      1  39        0         0
#> 129   23.41      1  53        1         0
#> 49    12.19      1  48        1         0
#> 113   22.86      1  34        0         0
#> 181   16.46      1  45        0         1
#> 58.1  19.34      1  39        0         0
#> 188   16.16      1  46        0         1
#> 177   12.53      1  75        0         0
#> 195   11.76      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 183.1  9.24      1  67        1         0
#> 188.1 16.16      1  46        0         1
#> 59.1  10.16      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 199   19.81      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 50    10.02      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 60    13.15      1  38        1         0
#> 179   18.63      1  42        0         0
#> 25     6.32      1  34        1         0
#> 107   11.18      1  54        1         0
#> 171   16.57      1  41        0         1
#> 85    16.44      1  36        0         0
#> 180   14.82      1  37        0         0
#> 86    23.81      1  58        0         1
#> 18    15.21      1  49        1         0
#> 18.1  15.21      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 50.1  10.02      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 189.1 10.51      1  NA        1         0
#> 145.1 10.07      1  65        1         0
#> 197   21.60      1  69        1         0
#> 133.1 14.65      1  57        0         0
#> 155   13.08      1  26        0         0
#> 10    10.53      1  34        0         0
#> 96    14.54      1  33        0         1
#> 149    8.37      1  33        1         0
#> 8     18.43      1  32        0         0
#> 125   15.65      1  67        1         0
#> 168.1 23.72      1  70        0         0
#> 16     8.71      1  71        0         1
#> 29    15.45      1  68        1         0
#> 61    10.12      1  36        0         1
#> 114.1 13.68      1  NA        0         0
#> 106   16.67      1  49        1         0
#> 24    23.89      1  38        0         0
#> 99    21.19      1  38        0         1
#> 36    21.19      1  48        0         1
#> 110.1 17.56      1  65        0         1
#> 111   17.45      1  47        0         1
#> 184   17.77      1  38        0         0
#> 166   19.98      1  48        0         0
#> 56    12.21      1  60        0         0
#> 150   20.33      1  48        0         0
#> 52    10.42      1  52        0         1
#> 41.1  18.02      1  40        1         0
#> 92.1  22.92      1  47        0         1
#> 45    17.42      1  54        0         1
#> 105.1 19.75      1  60        0         0
#> 5     16.43      1  51        0         1
#> 195.1 11.76      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 114.2 13.68      1  NA        0         0
#> 8.1   18.43      1  32        0         0
#> 117   17.46      1  26        0         1
#> 58.2  19.34      1  39        0         0
#> 117.1 17.46      1  26        0         1
#> 76    19.22      1  54        0         1
#> 5.1   16.43      1  51        0         1
#> 157   15.10      1  47        0         0
#> 96.1  14.54      1  33        0         1
#> 124    9.73      1  NA        1         0
#> 133.2 14.65      1  57        0         0
#> 188.2 16.16      1  46        0         1
#> 52.1  10.42      1  52        0         1
#> 99.1  21.19      1  38        0         1
#> 105.2 19.75      1  60        0         0
#> 139   21.49      1  63        1         0
#> 100   16.07      1  60        0         0
#> 58.3  19.34      1  39        0         0
#> 26    15.77      1  49        0         1
#> 96.2  14.54      1  33        0         1
#> 197.1 21.60      1  69        1         0
#> 159   10.55      1  50        0         1
#> 5.2   16.43      1  51        0         1
#> 180.1 14.82      1  37        0         0
#> 180.2 14.82      1  37        0         0
#> 114.3 13.68      1  NA        0         0
#> 101    9.97      1  10        0         1
#> 129.1 23.41      1  53        1         0
#> 199.1 19.81      1  NA        0         1
#> 77     7.27      1  67        0         1
#> 93    10.33      1  52        0         1
#> 154   12.63      1  20        1         0
#> 181.1 16.46      1  45        0         1
#> 155.1 13.08      1  26        0         0
#> 158   20.14      1  74        1         0
#> 114.4 13.68      1  NA        0         0
#> 140   12.68      1  59        1         0
#> 74    24.00      0  43        0         1
#> 116   24.00      0  58        0         1
#> 160   24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 126   24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 119   24.00      0  17        0         0
#> 102   24.00      0  49        0         0
#> 3     24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 21    24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 161   24.00      0  45        0         0
#> 193   24.00      0  45        0         1
#> 196   24.00      0  19        0         0
#> 74.1  24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 46    24.00      0  71        0         0
#> 141   24.00      0  44        1         0
#> 193.1 24.00      0  45        0         1
#> 67    24.00      0  25        0         0
#> 7     24.00      0  37        1         0
#> 82    24.00      0  34        0         0
#> 146   24.00      0  63        1         0
#> 67.1  24.00      0  25        0         0
#> 71    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 74.2  24.00      0  43        0         1
#> 191   24.00      0  60        0         1
#> 46.1  24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 17    24.00      0  38        0         1
#> 67.2  24.00      0  25        0         0
#> 152.1 24.00      0  36        0         1
#> 54    24.00      0  53        1         0
#> 84    24.00      0  39        0         1
#> 121   24.00      0  57        1         0
#> 109   24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 196.1 24.00      0  19        0         0
#> 82.1  24.00      0  34        0         0
#> 196.2 24.00      0  19        0         0
#> 65    24.00      0  57        1         0
#> 142   24.00      0  53        0         0
#> 11    24.00      0  42        0         1
#> 196.3 24.00      0  19        0         0
#> 120   24.00      0  68        0         1
#> 82.2  24.00      0  34        0         0
#> 144.1 24.00      0  28        0         1
#> 119.1 24.00      0  17        0         0
#> 17.1  24.00      0  38        0         1
#> 71.1  24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 147.1 24.00      0  76        1         0
#> 75    24.00      0  21        1         0
#> 102.1 24.00      0  49        0         0
#> 83.1  24.00      0   6        0         0
#> 80    24.00      0  41        0         0
#> 84.1  24.00      0  39        0         1
#> 144.2 24.00      0  28        0         1
#> 135   24.00      0  58        1         0
#> 112   24.00      0  61        0         0
#> 151   24.00      0  42        0         0
#> 72    24.00      0  40        0         1
#> 112.1 24.00      0  61        0         0
#> 64    24.00      0  43        0         0
#> 147.2 24.00      0  76        1         0
#> 165   24.00      0  47        0         0
#> 120.1 24.00      0  68        0         1
#> 64.1  24.00      0  43        0         0
#> 160.1 24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 71.2  24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 33    24.00      0  53        0         0
#> 17.2  24.00      0  38        0         1
#> 198.1 24.00      0  66        0         1
#> 141.1 24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 11.1  24.00      0  42        0         1
#> 185.1 24.00      0  44        1         0
#> 21.2  24.00      0  47        0         0
#> 35    24.00      0  51        0         0
#> 138.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.947         NA        NA      NA
#> 2 age, Cure model           0.0167        NA        NA      NA
#> 3 grade_ii, Cure model      0.363         NA        NA      NA
#> 4 grade_iii, Cure model     0.555         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0113        NA        NA      NA
#> 2 grade_ii, Survival model    0.422         NA        NA      NA
#> 3 grade_iii, Survival model   0.173         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.9470            0.0167            0.3625            0.5546  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253.2 
#> Residual Deviance: 247.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.94701146       0.01669533       0.36252598       0.55458130 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01130097       0.42178762       0.17293475 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0895586199 0.5655862681 0.2516920277 0.0223830967 0.9001685092
#>   [6] 0.8860836502 0.0895586199 0.9569774137 0.0053080464 0.8440414122
#>  [11] 0.1508203457 0.0133143154 0.7343794987 0.0327665034 0.3341922525
#>  [16] 0.1508203457 0.3994308379 0.7075823382 0.0447399649 0.9001685092
#>  [21] 0.3994308379 0.0387864619 0.1265629017 0.2226818877 0.6419408023
#>  [26] 0.1941251741 0.9856333066 0.7478674928 0.3235218916 0.3555756890
#>  [31] 0.5288010658 0.0024124498 0.4925474521 0.4925474521 0.8440414122
#>  [36] 0.0508792667 0.5655862681 0.6550056700 0.7750057648 0.6035443408
#>  [41] 0.9426778214 0.2036156463 0.4566118690 0.0053080464 0.9283673646
#>  [46] 0.4804739915 0.8300682880 0.3129395226 0.0005190529 0.0699804666
#>  [51] 0.0699804666 0.2516920277 0.2919914815 0.2417978762 0.1186975469
#>  [56] 0.7209196099 0.1035666829 0.7886907879 0.2226818877 0.0223830967
#>  [61] 0.3024012383 0.1265629017 0.3665451474 0.4684887741 0.2036156463
#>  [66] 0.2717563906 0.1508203457 0.2717563906 0.1848069079 0.3665451474
#>  [71] 0.5165422667 0.6035443408 0.5655862681 0.3994308379 0.7886907879
#>  [76] 0.0699804666 0.1265629017 0.0632718691 0.4331309810 0.1508203457
#>  [81] 0.4448223523 0.6035443408 0.0508792667 0.7613974070 0.3665451474
#>  [86] 0.5288010658 0.5288010658 0.8720029973 0.0133143154 0.9712585988
#>  [91] 0.8161440537 0.6943872222 0.3341922525 0.6550056700 0.1110446130
#>  [96] 0.6811376704 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   128   133   110    92   183   187 128.1    70   168   145    58   129    49 
#> 20.35 14.65 17.56 22.92  9.24  9.92 20.35  7.38 23.72 10.07 19.34 23.41 12.19 
#>   113   181  58.1   188   177   194 183.1 188.1    63   105    41    60   179 
#> 22.86 16.46 19.34 16.16 12.53 22.40  9.24 16.16 22.77 19.75 18.02 13.15 18.63 
#>    25   107   171    85   180    86    18  18.1 145.1   197 133.1   155    10 
#>  6.32 11.18 16.57 16.44 14.82 23.81 15.21 15.21 10.07 21.60 14.65 13.08 10.53 
#>    96   149     8   125 168.1    16    29    61   106    24    99    36 110.1 
#> 14.54  8.37 18.43 15.65 23.72  8.71 15.45 10.12 16.67 23.89 21.19 21.19 17.56 
#>   111   184   166    56   150    52  41.1  92.1    45 105.1     5     6   8.1 
#> 17.45 17.77 19.98 12.21 20.33 10.42 18.02 22.92 17.42 19.75 16.43 15.64 18.43 
#>   117  58.2 117.1    76   5.1   157  96.1 133.2 188.2  52.1  99.1 105.2   139 
#> 17.46 19.34 17.46 19.22 16.43 15.10 14.54 14.65 16.16 10.42 21.19 19.75 21.49 
#>   100  58.3    26  96.2 197.1   159   5.2 180.1 180.2   101 129.1    77    93 
#> 16.07 19.34 15.77 14.54 21.60 10.55 16.43 14.82 14.82  9.97 23.41  7.27 10.33 
#>   154 181.1 155.1   158   140    74   116   160   138   152   198   126   147 
#> 12.63 16.46 13.08 20.14 12.68 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   102     3   131   144    21  21.1   161   193   196  74.1    46   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1    67     7    82   146  67.1    71    31  74.2   191  46.1    44    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.2 152.1    54    84   121   109    83 196.1  82.1 196.2    65   142    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.3   120  82.2 144.1 119.1  17.1  71.1   118   172 147.1    75 102.1  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80  84.1 144.2   135   112   151    72 112.1    64 147.2   165 120.1  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1   185  71.2    53    33  17.2 198.1 141.1    20  11.1 185.1  21.2    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[45]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003763058               0.265806533               0.068744360 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.01359129              0.02270931              0.29605261 
#>   grade_iii, Cure model 
#>              0.21306266 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 159   10.55      1  50        0         1
#> 29    15.45      1  68        1         0
#> 77     7.27      1  67        0         1
#> 133   14.65      1  57        0         0
#> 145   10.07      1  65        1         0
#> 85    16.44      1  36        0         0
#> 139   21.49      1  63        1         0
#> 159.1 10.55      1  50        0         1
#> 66    22.13      1  53        0         0
#> 166   19.98      1  48        0         0
#> 56    12.21      1  60        0         0
#> 92    22.92      1  47        0         1
#> 63    22.77      1  31        1         0
#> 70     7.38      1  30        1         0
#> 81    14.06      1  34        0         0
#> 6     15.64      1  39        0         0
#> 159.2 10.55      1  50        0         1
#> 97    19.14      1  65        0         1
#> 125   15.65      1  67        1         0
#> 192   16.44      1  31        1         0
#> 18    15.21      1  49        1         0
#> 187    9.92      1  39        1         0
#> 113   22.86      1  34        0         0
#> 124    9.73      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 43    12.10      1  61        0         1
#> 133.1 14.65      1  57        0         0
#> 157   15.10      1  47        0         0
#> 41    18.02      1  40        1         0
#> 181   16.46      1  45        0         1
#> 105   19.75      1  60        0         0
#> 170   19.54      1  43        0         1
#> 157.1 15.10      1  47        0         0
#> 81.1  14.06      1  34        0         0
#> 155   13.08      1  26        0         0
#> 14    12.89      1  21        0         0
#> 169   22.41      1  46        0         0
#> 170.1 19.54      1  43        0         1
#> 52    10.42      1  52        0         1
#> 5     16.43      1  51        0         1
#> 85.1  16.44      1  36        0         0
#> 166.1 19.98      1  48        0         0
#> 164   23.60      1  76        0         1
#> 140   12.68      1  59        1         0
#> 18.1  15.21      1  49        1         0
#> 86    23.81      1  58        0         1
#> 76    19.22      1  54        0         1
#> 192.1 16.44      1  31        1         0
#> 39    15.59      1  37        0         1
#> 123   13.00      1  44        1         0
#> 91     5.33      1  61        0         1
#> 171   16.57      1  41        0         1
#> 18.2  15.21      1  49        1         0
#> 88    18.37      1  47        0         0
#> 57    14.46      1  45        0         1
#> 49    12.19      1  48        1         0
#> 157.2 15.10      1  47        0         0
#> 77.1   7.27      1  67        0         1
#> 100   16.07      1  60        0         0
#> 154   12.63      1  20        1         0
#> 181.1 16.46      1  45        0         1
#> 29.1  15.45      1  68        1         0
#> 91.1   5.33      1  61        0         1
#> 105.1 19.75      1  60        0         0
#> 41.1  18.02      1  40        1         0
#> 139.1 21.49      1  63        1         0
#> 190   20.81      1  42        1         0
#> 133.2 14.65      1  57        0         0
#> 197   21.60      1  69        1         0
#> 171.1 16.57      1  41        0         1
#> 108   18.29      1  39        0         1
#> 63.1  22.77      1  31        1         0
#> 195   11.76      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 113.1 22.86      1  34        0         0
#> 49.1  12.19      1  48        1         0
#> 110   17.56      1  65        0         1
#> 8     18.43      1  32        0         0
#> 134   17.81      1  47        1         0
#> 180   14.82      1  37        0         0
#> 30    17.43      1  78        0         0
#> 60    13.15      1  38        1         0
#> 127    3.53      1  62        0         1
#> 199   19.81      1  NA        0         1
#> 129   23.41      1  53        1         0
#> 92.1  22.92      1  47        0         1
#> 52.1  10.42      1  52        0         1
#> 183    9.24      1  67        1         0
#> 125.1 15.65      1  67        1         0
#> 107   11.18      1  54        1         0
#> 100.1 16.07      1  60        0         0
#> 55    19.34      1  69        0         1
#> 153   21.33      1  55        1         0
#> 168   23.72      1  70        0         0
#> 91.2   5.33      1  61        0         1
#> 130   16.47      1  53        0         1
#> 93    10.33      1  52        0         1
#> 192.2 16.44      1  31        1         0
#> 168.1 23.72      1  70        0         0
#> 175   21.91      1  43        0         0
#> 124.1  9.73      1  NA        1         0
#> 56.1  12.21      1  60        0         0
#> 85.2  16.44      1  36        0         0
#> 105.2 19.75      1  60        0         0
#> 92.2  22.92      1  47        0         1
#> 18.3  15.21      1  49        1         0
#> 32    20.90      1  37        1         0
#> 79    16.23      1  54        1         0
#> 183.1  9.24      1  67        1         0
#> 187.1  9.92      1  39        1         0
#> 153.1 21.33      1  55        1         0
#> 6.1   15.64      1  39        0         0
#> 27    24.00      0  63        1         0
#> 34    24.00      0  36        0         0
#> 120   24.00      0  68        0         1
#> 103   24.00      0  56        1         0
#> 80    24.00      0  41        0         0
#> 121   24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 28    24.00      0  67        1         0
#> 191   24.00      0  60        0         1
#> 137   24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 142   24.00      0  53        0         0
#> 186   24.00      0  45        1         0
#> 143   24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 2     24.00      0   9        0         0
#> 47    24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 131   24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 34.1  24.00      0  36        0         0
#> 109   24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 62    24.00      0  71        0         0
#> 185   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 12    24.00      0  63        0         0
#> 146   24.00      0  63        1         0
#> 121.1 24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 87    24.00      0  27        0         0
#> 176   24.00      0  43        0         1
#> 142.1 24.00      0  53        0         0
#> 72    24.00      0  40        0         1
#> 163   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 126   24.00      0  48        0         0
#> 64    24.00      0  43        0         0
#> 84    24.00      0  39        0         1
#> 73    24.00      0  NA        0         1
#> 193.1 24.00      0  45        0         1
#> 73.1  24.00      0  NA        0         1
#> 64.1  24.00      0  43        0         0
#> 182   24.00      0  35        0         0
#> 11    24.00      0  42        0         1
#> 75    24.00      0  21        1         0
#> 38    24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 11.1  24.00      0  42        0         1
#> 82    24.00      0  34        0         0
#> 44    24.00      0  56        0         0
#> 104   24.00      0  50        1         0
#> 20.1  24.00      0  46        1         0
#> 84.1  24.00      0  39        0         1
#> 152   24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 2.1   24.00      0   9        0         0
#> 17    24.00      0  38        0         1
#> 34.2  24.00      0  36        0         0
#> 48    24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 137.1 24.00      0  45        1         0
#> 47.1  24.00      0  38        0         1
#> 64.2  24.00      0  43        0         0
#> 176.1 24.00      0  43        0         1
#> 87.1  24.00      0  27        0         0
#> 103.1 24.00      0  56        1         0
#> 142.2 24.00      0  53        0         0
#> 104.1 24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 74    24.00      0  43        0         1
#> 193.2 24.00      0  45        0         1
#> 141   24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 122   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 2.2   24.00      0   9        0         0
#> 95.1  24.00      0  68        0         1
#> 138   24.00      0  44        1         0
#> 182.1 24.00      0  35        0         0
#> 11.2  24.00      0  42        0         1
#> 191.1 24.00      0  60        0         1
#> 120.1 24.00      0  68        0         1
#> 1.1   24.00      0  23        1         0
#> 160   24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 27.1  24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.01          NA        NA      NA
#> 2 age, Cure model           0.0227        NA        NA      NA
#> 3 grade_ii, Cure model      0.296         NA        NA      NA
#> 4 grade_iii, Cure model     0.213         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00376        NA        NA      NA
#> 2 grade_ii, Survival model   0.266          NA        NA      NA
#> 3 grade_iii, Survival model  0.0687         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.01359           0.02271           0.29605           0.21306  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.4 
#> Residual Deviance: 261.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.01359129       0.02270931       0.29605261       0.21306266 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003763058      0.265806533      0.068744360 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.825240221 0.557434771 0.941635843 0.651475195 0.883341483 0.418201220
#>   [7] 0.145103654 0.825240221 0.118057754 0.197557861 0.767218859 0.051569814
#>  [13] 0.092484204 0.931906441 0.689753673 0.528877279 0.825240221 0.277668851
#>  [19] 0.509994821 0.418201220 0.576428652 0.893119783 0.075250617 0.286957634
#>  [25] 0.805817813 0.651475195 0.613587166 0.324504735 0.399339948 0.215002877
#>  [31] 0.241268028 0.613587166 0.689753673 0.718742261 0.738144350 0.109226321
#>  [37] 0.241268028 0.854134917 0.472162201 0.418201220 0.197557861 0.024679441
#>  [43] 0.747848270 0.576428652 0.003355715 0.268429931 0.418201220 0.547852272
#>  [49] 0.728450115 0.961061041 0.371123263 0.576428652 0.305657071 0.680071559
#>  [55] 0.786539376 0.613587166 0.941635843 0.491102809 0.757546560 0.399339948
#>  [61] 0.557434771 0.961061041 0.215002877 0.324504735 0.145103654 0.188765555
#>  [67] 0.651475195 0.136058843 0.371123263 0.315070316 0.092484204 0.042620111
#>  [73] 0.075250617 0.786539376 0.352307153 0.296290606 0.342970314 0.641882672
#>  [79] 0.361684079 0.709046615 0.990181639 0.033723895 0.051569814 0.854134917
#>  [85] 0.912515943 0.509994821 0.815532752 0.491102809 0.259230874 0.162570627
#>  [91] 0.010718094 0.961061041 0.389838794 0.873560864 0.418201220 0.010718094
#>  [97] 0.127010542 0.767218859 0.418201220 0.215002877 0.051569814 0.576428652
#> [103] 0.179926489 0.481638517 0.912515943 0.893119783 0.162570627 0.528877279
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>   159    29    77   133   145    85   139 159.1    66   166    56    92    63 
#> 10.55 15.45  7.27 14.65 10.07 16.44 21.49 10.55 22.13 19.98 12.21 22.92 22.77 
#>    70    81     6 159.2    97   125   192    18   187   113   179    43 133.1 
#>  7.38 14.06 15.64 10.55 19.14 15.65 16.44 15.21  9.92 22.86 18.63 12.10 14.65 
#>   157    41   181   105   170 157.1  81.1   155    14   169 170.1    52     5 
#> 15.10 18.02 16.46 19.75 19.54 15.10 14.06 13.08 12.89 22.41 19.54 10.42 16.43 
#>  85.1 166.1   164   140  18.1    86    76 192.1    39   123    91   171  18.2 
#> 16.44 19.98 23.60 12.68 15.21 23.81 19.22 16.44 15.59 13.00  5.33 16.57 15.21 
#>    88    57    49 157.2  77.1   100   154 181.1  29.1  91.1 105.1  41.1 139.1 
#> 18.37 14.46 12.19 15.10  7.27 16.07 12.63 16.46 15.45  5.33 19.75 18.02 21.49 
#>   190 133.2   197 171.1   108  63.1    69 113.1  49.1   110     8   134   180 
#> 20.81 14.65 21.60 16.57 18.29 22.77 23.23 22.86 12.19 17.56 18.43 17.81 14.82 
#>    30    60   127   129  92.1  52.1   183 125.1   107 100.1    55   153   168 
#> 17.43 13.15  3.53 23.41 22.92 10.42  9.24 15.65 11.18 16.07 19.34 21.33 23.72 
#>  91.2   130    93 192.2 168.1   175  56.1  85.2 105.2  92.2  18.3    32    79 
#>  5.33 16.47 10.33 16.44 23.72 21.91 12.21 16.44 19.75 22.92 15.21 20.90 16.23 
#> 183.1 187.1 153.1   6.1    27    34   120   103    80   121    94    28   191 
#>  9.24  9.92 21.33 15.64 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   112   142   186   143     1     2    47   193   131     9    20  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109    98    62   185   196    12   146 121.1   198    87   176 142.1    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163   161   126    64    84 193.1  64.1   182    11    75    38 161.1  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82    44   104  20.1  84.1   152    35   2.1    17  34.2    48   132 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1  64.2 176.1  87.1 103.1 142.2 104.1    95    74 193.2   141 112.1   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165   2.2  95.1   138 182.1  11.2 191.1 120.1   1.1   160   9.1  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[46]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01592097                0.95487629                0.58687686 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.773733296             0.006306762             0.724304723 
#>   grade_iii, Cure model 
#>             1.149211922 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 179   18.63      1  42        0         0
#> 179.1 18.63      1  42        0         0
#> 15    22.68      1  48        0         0
#> 129   23.41      1  53        1         0
#> 29    15.45      1  68        1         0
#> 106   16.67      1  49        1         0
#> 181   16.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 169   22.41      1  46        0         0
#> 197   21.60      1  69        1         0
#> 129.1 23.41      1  53        1         0
#> 164   23.60      1  76        0         1
#> 117   17.46      1  26        0         1
#> 123   13.00      1  44        1         0
#> 149    8.37      1  33        1         0
#> 150   20.33      1  48        0         0
#> 14    12.89      1  21        0         0
#> 189   10.51      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 58    19.34      1  39        0         0
#> 168   23.72      1  70        0         0
#> 127    3.53      1  62        0         1
#> 169.1 22.41      1  46        0         0
#> 134   17.81      1  47        1         0
#> 32    20.90      1  37        1         0
#> 167   15.55      1  56        1         0
#> 139.1 21.49      1  63        1         0
#> 66    22.13      1  53        0         0
#> 89    11.44      1  NA        0         0
#> 130   16.47      1  53        0         1
#> 154   12.63      1  20        1         0
#> 101    9.97      1  10        0         1
#> 13    14.34      1  54        0         1
#> 37    12.52      1  57        1         0
#> 4.1   17.64      1  NA        0         1
#> 153   21.33      1  55        1         0
#> 136   21.83      1  43        0         1
#> 197.1 21.60      1  69        1         0
#> 45    17.42      1  54        0         1
#> 25     6.32      1  34        1         0
#> 90    20.94      1  50        0         1
#> 23    16.92      1  61        0         0
#> 183    9.24      1  67        1         0
#> 194   22.40      1  38        0         1
#> 113   22.86      1  34        0         0
#> 41    18.02      1  40        1         0
#> 16     8.71      1  71        0         1
#> 145   10.07      1  65        1         0
#> 99    21.19      1  38        0         1
#> 89.1  11.44      1  NA        0         0
#> 61    10.12      1  36        0         1
#> 113.1 22.86      1  34        0         0
#> 25.1   6.32      1  34        1         0
#> 70     7.38      1  30        1         0
#> 99.1  21.19      1  38        0         1
#> 14.1  12.89      1  21        0         0
#> 69    23.23      1  25        0         1
#> 136.1 21.83      1  43        0         1
#> 150.1 20.33      1  48        0         0
#> 4.2   17.64      1  NA        0         1
#> 89.2  11.44      1  NA        0         0
#> 45.1  17.42      1  54        0         1
#> 187    9.92      1  39        1         0
#> 77     7.27      1  67        0         1
#> 106.1 16.67      1  49        1         0
#> 55    19.34      1  69        0         1
#> 187.1  9.92      1  39        1         0
#> 187.2  9.92      1  39        1         0
#> 106.2 16.67      1  49        1         0
#> 188   16.16      1  46        0         1
#> 13.1  14.34      1  54        0         1
#> 188.1 16.16      1  46        0         1
#> 188.2 16.16      1  46        0         1
#> 130.1 16.47      1  53        0         1
#> 123.1 13.00      1  44        1         0
#> 189.1 10.51      1  NA        1         0
#> 32.1  20.90      1  37        1         0
#> 170   19.54      1  43        0         1
#> 99.2  21.19      1  38        0         1
#> 97    19.14      1  65        0         1
#> 181.1 16.46      1  45        0         1
#> 39    15.59      1  37        0         1
#> 114   13.68      1  NA        0         0
#> 23.1  16.92      1  61        0         0
#> 99.3  21.19      1  38        0         1
#> 70.1   7.38      1  30        1         0
#> 88    18.37      1  47        0         0
#> 13.2  14.34      1  54        0         1
#> 190   20.81      1  42        1         0
#> 78    23.88      1  43        0         0
#> 88.1  18.37      1  47        0         0
#> 149.1  8.37      1  33        1         0
#> 92    22.92      1  47        0         1
#> 76    19.22      1  54        0         1
#> 124    9.73      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 76.1  19.22      1  54        0         1
#> 89.3  11.44      1  NA        0         0
#> 70.2   7.38      1  30        1         0
#> 184   17.77      1  38        0         0
#> 90.1  20.94      1  50        0         1
#> 61.1  10.12      1  36        0         1
#> 57    14.46      1  45        0         1
#> 6     15.64      1  39        0         0
#> 106.3 16.67      1  49        1         0
#> 110   17.56      1  65        0         1
#> 183.1  9.24      1  67        1         0
#> 159   10.55      1  50        0         1
#> 128   20.35      1  35        0         1
#> 167.1 15.55      1  56        1         0
#> 145.1 10.07      1  65        1         0
#> 43    12.10      1  61        0         1
#> 46    24.00      0  71        0         0
#> 178   24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 44    24.00      0  56        0         0
#> 46.1  24.00      0  71        0         0
#> 102   24.00      0  49        0         0
#> 21    24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 12    24.00      0  63        0         0
#> 152   24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 152.1 24.00      0  36        0         1
#> 162   24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 144   24.00      0  28        0         1
#> 7     24.00      0  37        1         0
#> 135   24.00      0  58        1         0
#> 9     24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 173   24.00      0  19        0         1
#> 9.1   24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 28    24.00      0  67        1         0
#> 161   24.00      0  45        0         0
#> 103   24.00      0  56        1         0
#> 173.1 24.00      0  19        0         1
#> 46.2  24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 141   24.00      0  44        1         0
#> 28.1  24.00      0  67        1         0
#> 173.2 24.00      0  19        0         1
#> 198.1 24.00      0  66        0         1
#> 7.1   24.00      0  37        1         0
#> 151   24.00      0  42        0         0
#> 19    24.00      0  57        0         1
#> 143   24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 20    24.00      0  46        1         0
#> 160   24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 65    24.00      0  57        1         0
#> 2     24.00      0   9        0         0
#> 115   24.00      0  NA        1         0
#> 3.1   24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 119   24.00      0  17        0         0
#> 122.1 24.00      0  66        0         0
#> 144.1 24.00      0  28        0         1
#> 143.1 24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 53    24.00      0  32        0         1
#> 47    24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 35    24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 44.1  24.00      0  56        0         0
#> 120   24.00      0  68        0         1
#> 1     24.00      0  23        1         0
#> 9.2   24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 178.1 24.00      0  52        1         0
#> 141.1 24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 11    24.00      0  42        0         1
#> 73.1  24.00      0  NA        0         1
#> 172   24.00      0  41        0         0
#> 21.1  24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 116   24.00      0  58        0         1
#> 165   24.00      0  47        0         0
#> 152.2 24.00      0  36        0         1
#> 95.1  24.00      0  68        0         1
#> 2.1   24.00      0   9        0         0
#> 132   24.00      0  55        0         0
#> 64.1  24.00      0  43        0         0
#> 19.1  24.00      0  57        0         1
#> 109   24.00      0  48        0         0
#> 151.1 24.00      0  42        0         0
#> 22    24.00      0  52        1         0
#> 161.1 24.00      0  45        0         0
#> 104   24.00      0  50        1         0
#> 9.3   24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 185   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 120.1 24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.774          NA        NA      NA
#> 2 age, Cure model          0.00631        NA        NA      NA
#> 3 grade_ii, Cure model     0.724          NA        NA      NA
#> 4 grade_iii, Cure model    1.15           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0159        NA        NA      NA
#> 2 grade_ii, Survival model    0.955         NA        NA      NA
#> 3 grade_iii, Survival model   0.587         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.773733          0.006307          0.724305          1.149212  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 246.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.773733296      0.006306762      0.724304723      1.149211922 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01592097       0.95487629       0.58687686 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3261452538 0.3261452538 0.0525340295 0.0153181051 0.6368843230
#>   [6] 0.4740087453 0.5378579762 0.0602556594 0.1129418025 0.0153181051
#>  [11] 0.0073771645 0.4095133955 0.6927557280 0.9038867713 0.2495574163
#>  [16] 0.7150430913 0.1314007448 0.2775455498 0.0022189110 0.9893288833
#>  [21] 0.0602556594 0.3778485346 0.2133526093 0.6147491437 0.1314007448
#>  [26] 0.0855576888 0.5161391774 0.7375296815 0.8270703367 0.6592858355
#>  [31] 0.7487072264 0.1499865581 0.0948834495 0.1129418025 0.4307810378
#>  [36] 0.9681765958 0.1946097725 0.4520738765 0.8708620325 0.0767777431
#>  [41] 0.0391922613 0.3673469752 0.8927947422 0.8046871604 0.1595365305
#>  [46] 0.7823517795 0.0391922613 0.9681765958 0.9256499680 0.1595365305
#>  [51] 0.7150430913 0.0266833033 0.0948834495 0.2495574163 0.4307810378
#>  [56] 0.8382573499 0.9574210353 0.4740087453 0.2775455498 0.8382573499
#>  [61] 0.8382573499 0.4740087453 0.5596839843 0.6592858355 0.5596839843
#>  [66] 0.5596839843 0.5161391774 0.6927557280 0.2133526093 0.2680849385
#>  [71] 0.1595365305 0.3161515047 0.5378579762 0.6035535517 0.4520738765
#>  [76] 0.1595365305 0.9256499680 0.3464234090 0.6592858355 0.2313967524
#>  [81] 0.0003054513 0.3464234090 0.9038867713 0.0328474980 0.2966984224
#>  [86] 0.4201271513 0.2966984224 0.9256499680 0.3882835629 0.1946097725
#>  [91] 0.7823517795 0.6480733146 0.5923584218 0.4740087453 0.3988474707
#>  [96] 0.8708620325 0.7710987751 0.2404822212 0.6147491437 0.8046871604
#> [101] 0.7598766834 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000
#> 
#> $Time
#>   179 179.1    15   129    29   106   181   169   197 129.1   164   117   123 
#> 18.63 18.63 22.68 23.41 15.45 16.67 16.46 22.41 21.60 23.41 23.60 17.46 13.00 
#>   149   150    14   139    58   168   127 169.1   134    32   167 139.1    66 
#>  8.37 20.33 12.89 21.49 19.34 23.72  3.53 22.41 17.81 20.90 15.55 21.49 22.13 
#>   130   154   101    13    37   153   136 197.1    45    25    90    23   183 
#> 16.47 12.63  9.97 14.34 12.52 21.33 21.83 21.60 17.42  6.32 20.94 16.92  9.24 
#>   194   113    41    16   145    99    61 113.1  25.1    70  99.1  14.1    69 
#> 22.40 22.86 18.02  8.71 10.07 21.19 10.12 22.86  6.32  7.38 21.19 12.89 23.23 
#> 136.1 150.1  45.1   187    77 106.1    55 187.1 187.2 106.2   188  13.1 188.1 
#> 21.83 20.33 17.42  9.92  7.27 16.67 19.34  9.92  9.92 16.67 16.16 14.34 16.16 
#> 188.2 130.1 123.1  32.1   170  99.2    97 181.1    39  23.1  99.3  70.1    88 
#> 16.16 16.47 13.00 20.90 19.54 21.19 19.14 16.46 15.59 16.92 21.19  7.38 18.37 
#>  13.2   190    78  88.1 149.1    92    76   111  76.1  70.2   184  90.1  61.1 
#> 14.34 20.81 23.88 18.37  8.37 22.92 19.22 17.45 19.22  7.38 17.77 20.94 10.12 
#>    57     6 106.3   110 183.1   159   128 167.1 145.1    43    46   178   146 
#> 14.46 15.64 16.67 17.56  9.24 10.55 20.35 15.55 10.07 12.10 24.00 24.00 24.00 
#>    44  46.1   102    21    95    12   152     3 152.1   162   198   144     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135     9    82   173   9.1   122    28   161   103 173.1  46.2   142   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1 173.2 198.1   7.1   151    19   143    64    20   160    31   182    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   3.1    48   174   119 122.1 144.1 143.1    53    47   193    35   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.1   120     1   9.2    83 178.1 141.1   137    11   172  21.1   112   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165 152.2  95.1   2.1   132  64.1  19.1   109 151.1    22 161.1   104   9.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1   185   131 120.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[47]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01468865                0.83277564                0.35072340 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>               0.6475174              -0.0141484              -0.2016605 
#>   grade_iii, Cure model 
#>               0.8345361 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 195   11.76      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 189   10.51      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 24    23.89      1  38        0         0
#> 32    20.90      1  37        1         0
#> 183    9.24      1  67        1         0
#> 14    12.89      1  21        0         0
#> 59    10.16      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 136   21.83      1  43        0         1
#> 5     16.43      1  51        0         1
#> 52    10.42      1  52        0         1
#> 166   19.98      1  48        0         0
#> 192   16.44      1  31        1         0
#> 154   12.63      1  20        1         0
#> 177   12.53      1  75        0         0
#> 99    21.19      1  38        0         1
#> 110   17.56      1  65        0         1
#> 45    17.42      1  54        0         1
#> 154.1 12.63      1  20        1         0
#> 188   16.16      1  46        0         1
#> 153   21.33      1  55        1         0
#> 175   21.91      1  43        0         0
#> 188.1 16.16      1  46        0         1
#> 133   14.65      1  57        0         0
#> 24.1  23.89      1  38        0         0
#> 171   16.57      1  41        0         1
#> 195.1 11.76      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 26    15.77      1  49        0         1
#> 37    12.52      1  57        1         0
#> 139   21.49      1  63        1         0
#> 157   15.10      1  47        0         0
#> 61    10.12      1  36        0         1
#> 56    12.21      1  60        0         0
#> 69    23.23      1  25        0         1
#> 170   19.54      1  43        0         1
#> 101    9.97      1  10        0         1
#> 166.1 19.98      1  48        0         0
#> 23    16.92      1  61        0         0
#> 154.2 12.63      1  20        1         0
#> 50    10.02      1  NA        1         0
#> 149.1  8.37      1  33        1         0
#> 25     6.32      1  34        1         0
#> 177.1 12.53      1  75        0         0
#> 194   22.40      1  38        0         1
#> 113   22.86      1  34        0         0
#> 113.1 22.86      1  34        0         0
#> 76    19.22      1  54        0         1
#> 25.1   6.32      1  34        1         0
#> 58    19.34      1  39        0         0
#> 155   13.08      1  26        0         0
#> 5.1   16.43      1  51        0         1
#> 99.1  21.19      1  38        0         1
#> 106   16.67      1  49        1         0
#> 136.1 21.83      1  43        0         1
#> 8     18.43      1  32        0         0
#> 170.1 19.54      1  43        0         1
#> 16     8.71      1  71        0         1
#> 105   19.75      1  60        0         0
#> 194.1 22.40      1  38        0         1
#> 58.1  19.34      1  39        0         0
#> 10    10.53      1  34        0         0
#> 8.1   18.43      1  32        0         0
#> 18    15.21      1  49        1         0
#> 133.1 14.65      1  57        0         0
#> 69.1  23.23      1  25        0         1
#> 66    22.13      1  53        0         0
#> 140   12.68      1  59        1         0
#> 93    10.33      1  52        0         1
#> 106.1 16.67      1  49        1         0
#> 184   17.77      1  38        0         0
#> 114   13.68      1  NA        0         0
#> 154.3 12.63      1  20        1         0
#> 171.1 16.57      1  41        0         1
#> 63    22.77      1  31        1         0
#> 167   15.55      1  56        1         0
#> 194.2 22.40      1  38        0         1
#> 55    19.34      1  69        0         1
#> 168   23.72      1  70        0         0
#> 150   20.33      1  48        0         0
#> 79    16.23      1  54        1         0
#> 153.1 21.33      1  55        1         0
#> 24.2  23.89      1  38        0         0
#> 189.1 10.51      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 195.2 11.76      1  NA        1         0
#> 5.2   16.43      1  51        0         1
#> 56.1  12.21      1  60        0         0
#> 69.2  23.23      1  25        0         1
#> 192.1 16.44      1  31        1         0
#> 30    17.43      1  78        0         0
#> 150.1 20.33      1  48        0         0
#> 159   10.55      1  50        0         1
#> 93.1  10.33      1  52        0         1
#> 158   20.14      1  74        1         0
#> 51    18.23      1  83        0         1
#> 45.1  17.42      1  54        0         1
#> 49    12.19      1  48        1         0
#> 194.3 22.40      1  38        0         1
#> 136.2 21.83      1  43        0         1
#> 128.1 20.35      1  35        0         1
#> 150.2 20.33      1  48        0         0
#> 136.3 21.83      1  43        0         1
#> 61.1  10.12      1  36        0         1
#> 42    12.43      1  49        0         1
#> 37.1  12.52      1  57        1         0
#> 128.2 20.35      1  35        0         1
#> 13    14.34      1  54        0         1
#> 114.1 13.68      1  NA        0         0
#> 11    24.00      0  42        0         1
#> 48    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 178   24.00      0  52        1         0
#> 62    24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 12    24.00      0  63        0         0
#> 98    24.00      0  34        1         0
#> 176   24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 82    24.00      0  34        0         0
#> 178.1 24.00      0  52        1         0
#> 156.1 24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 62.1  24.00      0  71        0         0
#> 147   24.00      0  76        1         0
#> 33    24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 17    24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 146   24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 1     24.00      0  23        1         0
#> 120   24.00      0  68        0         1
#> 146.1 24.00      0  63        1         0
#> 62.2  24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 143   24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 148   24.00      0  61        1         0
#> 12.1  24.00      0  63        0         0
#> 162   24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 185   24.00      0  44        1         0
#> 62.3  24.00      0  71        0         0
#> 182   24.00      0  35        0         0
#> 116   24.00      0  58        0         1
#> 109   24.00      0  48        0         0
#> 120.1 24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 62.4  24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 80    24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 82.1  24.00      0  34        0         0
#> 2     24.00      0   9        0         0
#> 34    24.00      0  36        0         0
#> 104   24.00      0  50        1         0
#> 27    24.00      0  63        1         0
#> 75.1  24.00      0  21        1         0
#> 54    24.00      0  53        1         0
#> 120.2 24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 28    24.00      0  67        1         0
#> 73    24.00      0  NA        0         1
#> 148.1 24.00      0  61        1         0
#> 7.1   24.00      0  37        1         0
#> 118.1 24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 143.1 24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 95.1  24.00      0  68        0         1
#> 17.1  24.00      0  38        0         1
#> 46    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 147.1 24.00      0  76        1         0
#> 176.1 24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 186   24.00      0  45        1         0
#> 156.2 24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 87    24.00      0  27        0         0
#> 87.1  24.00      0  27        0         0
#> 121.1 24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 126   24.00      0  48        0         0
#> 38.1  24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 112.1 24.00      0  61        0         0
#> 73.1  24.00      0  NA        0         1
#> 95.2  24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.648         NA        NA      NA
#> 2 age, Cure model          -0.0141        NA        NA      NA
#> 3 grade_ii, Cure model     -0.202         NA        NA      NA
#> 4 grade_iii, Cure model     0.835         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0147        NA        NA      NA
#> 2 grade_ii, Survival model    0.833         NA        NA      NA
#> 3 grade_iii, Survival model   0.351         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.64752          -0.01415          -0.20166           0.83454  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 247.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>        0.6475174       -0.0141484       -0.2016605        0.8345361 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01468865       0.83277564       0.35072340 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7657084 0.7533804 0.1461859 0.6086192 0.9801001 0.8978628 0.6172740
#>   [8] 0.5139898 0.8355215 0.9590830 0.6801604 0.8257180 0.9061654 0.9218975
#>  [15] 0.5906831 0.7774771 0.7888895 0.9061654 0.8543275 0.5719023 0.4995511
#>  [22] 0.8543275 0.8809650 0.1461859 0.8155990 0.9868873 0.8634098 0.9296637
#>  [29] 0.5609214 0.8766571 0.9696756 0.9408868 0.2934001 0.7013953 0.9766264
#>  [36] 0.6801604 0.7998373 0.9061654 0.9868873 0.9935040 0.9218975 0.4261212
#>  [43] 0.3624794 0.3624794 0.7343502 0.9935040 0.7149423 0.8936617 0.8355215
#>  [50] 0.5906831 0.8052759 0.5139898 0.7407555 0.7013953 0.9835115 0.6943607
#>  [57] 0.4261212 0.7149423 0.9554847 0.7407555 0.8723280 0.8809650 0.2934001
#>  [64] 0.4847353 0.9020568 0.9626537 0.8052759 0.7716095 0.9061654 0.8155990
#>  [71] 0.4064066 0.8679174 0.4261212 0.7149423 0.2590796 0.6497787 0.8496855
#>  [78] 0.5719023 0.1461859 0.6258200 0.8355215 0.9408868 0.2934001 0.8257180
#>  [85] 0.7832279 0.6497787 0.9518777 0.9626537 0.6728660 0.7596396 0.7888895
#>  [92] 0.9482437 0.4261212 0.5139898 0.6258200 0.6497787 0.5139898 0.9696756
#>  [99] 0.9371598 0.9296637 0.6258200 0.8894514 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   134   108    24    32   183    14    68   136     5    52   166   192   154 
#> 17.81 18.29 23.89 20.90  9.24 12.89 20.62 21.83 16.43 10.42 19.98 16.44 12.63 
#>   177    99   110    45 154.1   188   153   175 188.1   133  24.1   171   149 
#> 12.53 21.19 17.56 17.42 12.63 16.16 21.33 21.91 16.16 14.65 23.89 16.57  8.37 
#>    26    37   139   157    61    56    69   170   101 166.1    23 154.2 149.1 
#> 15.77 12.52 21.49 15.10 10.12 12.21 23.23 19.54  9.97 19.98 16.92 12.63  8.37 
#>    25 177.1   194   113 113.1    76  25.1    58   155   5.1  99.1   106 136.1 
#>  6.32 12.53 22.40 22.86 22.86 19.22  6.32 19.34 13.08 16.43 21.19 16.67 21.83 
#>     8 170.1    16   105 194.1  58.1    10   8.1    18 133.1  69.1    66   140 
#> 18.43 19.54  8.71 19.75 22.40 19.34 10.53 18.43 15.21 14.65 23.23 22.13 12.68 
#>    93 106.1   184 154.3 171.1    63   167 194.2    55   168   150    79 153.1 
#> 10.33 16.67 17.77 12.63 16.57 22.77 15.55 22.40 19.34 23.72 20.33 16.23 21.33 
#>  24.2   128   5.2  56.1  69.2 192.1    30 150.1   159  93.1   158    51  45.1 
#> 23.89 20.35 16.43 12.21 23.23 16.44 17.43 20.33 10.55 10.33 20.14 18.23 17.42 
#>    49 194.3 136.2 128.1 150.2 136.3  61.1    42  37.1 128.2    13    11    48 
#> 12.19 22.40 21.83 20.35 20.33 21.83 10.12 12.43 12.52 20.35 14.34 24.00 24.00 
#>   174   178    62   156    12    98   176    67    82 178.1 156.1    19  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147    33   191    17     7   146   118    75     1   120 146.1  62.2   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   148  12.1   162    53   185  62.3   182   116   109 120.1   173  62.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142    80    21   163    47  82.1     2    34   104    27  75.1    54 120.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151    28 148.1   7.1 118.1   131   160    95 143.1 162.1  95.1  17.1    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38  19.1 147.1 176.1   196   186 156.2   121   138    87  87.1 121.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126  38.1   112 112.1  95.2 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[48]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005799595               0.837204712               0.602348200 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.051976070            -0.008767838             0.372485798 
#>   grade_iii, Cure model 
#>             1.173781856 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 180   14.82      1  37        0         0
#> 14    12.89      1  21        0         0
#> 36    21.19      1  48        0         1
#> 5     16.43      1  51        0         1
#> 154   12.63      1  20        1         0
#> 77     7.27      1  67        0         1
#> 60    13.15      1  38        1         0
#> 175   21.91      1  43        0         0
#> 113   22.86      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 149    8.37      1  33        1         0
#> 197   21.60      1  69        1         0
#> 45    17.42      1  54        0         1
#> 78    23.88      1  43        0         0
#> 79    16.23      1  54        1         0
#> 63    22.77      1  31        1         0
#> 114   13.68      1  NA        0         0
#> 183    9.24      1  67        1         0
#> 108   18.29      1  39        0         1
#> 45.1  17.42      1  54        0         1
#> 150   20.33      1  48        0         0
#> 45.2  17.42      1  54        0         1
#> 57    14.46      1  45        0         1
#> 100   16.07      1  60        0         0
#> 175.1 21.91      1  43        0         0
#> 36.1  21.19      1  48        0         1
#> 101    9.97      1  10        0         1
#> 145   10.07      1  65        1         0
#> 5.1   16.43      1  51        0         1
#> 78.1  23.88      1  43        0         0
#> 199   19.81      1  NA        0         1
#> 13    14.34      1  54        0         1
#> 51    18.23      1  83        0         1
#> 43    12.10      1  61        0         1
#> 90    20.94      1  50        0         1
#> 106   16.67      1  49        1         0
#> 39    15.59      1  37        0         1
#> 124    9.73      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 78.2  23.88      1  43        0         0
#> 90.1  20.94      1  50        0         1
#> 56    12.21      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 39.1  15.59      1  37        0         1
#> 59    10.16      1  NA        1         0
#> 63.1  22.77      1  31        1         0
#> 190   20.81      1  42        1         0
#> 110   17.56      1  65        0         1
#> 92    22.92      1  47        0         1
#> 170   19.54      1  43        0         1
#> 155   13.08      1  26        0         0
#> 150.1 20.33      1  48        0         0
#> 117   17.46      1  26        0         1
#> 117.1 17.46      1  26        0         1
#> 136   21.83      1  43        0         1
#> 56.1  12.21      1  60        0         0
#> 145.1 10.07      1  65        1         0
#> 32.1  20.90      1  37        1         0
#> 108.1 18.29      1  39        0         1
#> 15    22.68      1  48        0         0
#> 106.1 16.67      1  49        1         0
#> 110.1 17.56      1  65        0         1
#> 190.1 20.81      1  42        1         0
#> 108.2 18.29      1  39        0         1
#> 101.1  9.97      1  10        0         1
#> 93    10.33      1  52        0         1
#> 92.1  22.92      1  47        0         1
#> 150.2 20.33      1  48        0         0
#> 188   16.16      1  46        0         1
#> 110.2 17.56      1  65        0         1
#> 59.1  10.16      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 93.1  10.33      1  52        0         1
#> 188.1 16.16      1  46        0         1
#> 51.1  18.23      1  83        0         1
#> 29    15.45      1  68        1         0
#> 100.1 16.07      1  60        0         0
#> 153   21.33      1  55        1         0
#> 192   16.44      1  31        1         0
#> 49    12.19      1  48        1         0
#> 113.1 22.86      1  34        0         0
#> 25     6.32      1  34        1         0
#> 70     7.38      1  30        1         0
#> 175.2 21.91      1  43        0         0
#> 170.1 19.54      1  43        0         1
#> 133   14.65      1  57        0         0
#> 91     5.33      1  61        0         1
#> 128   20.35      1  35        0         1
#> 39.2  15.59      1  37        0         1
#> 99    21.19      1  38        0         1
#> 188.2 16.16      1  46        0         1
#> 150.3 20.33      1  48        0         0
#> 166   19.98      1  48        0         0
#> 15.1  22.68      1  48        0         0
#> 60.1  13.15      1  38        1         0
#> 197.1 21.60      1  69        1         0
#> 114.1 13.68      1  NA        0         0
#> 92.2  22.92      1  47        0         1
#> 199.1 19.81      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 90.2  20.94      1  50        0         1
#> 36.2  21.19      1  48        0         1
#> 29.1  15.45      1  68        1         0
#> 41    18.02      1  40        1         0
#> 25.1   6.32      1  34        1         0
#> 187    9.92      1  39        1         0
#> 117.2 17.46      1  26        0         1
#> 107   11.18      1  54        1         0
#> 169   22.41      1  46        0         0
#> 16     8.71      1  71        0         1
#> 114.2 13.68      1  NA        0         0
#> 95    24.00      0  68        0         1
#> 172   24.00      0  41        0         0
#> 120   24.00      0  68        0         1
#> 182   24.00      0  35        0         0
#> 200   24.00      0  64        0         0
#> 64    24.00      0  43        0         0
#> 48    24.00      0  31        1         0
#> 120.1 24.00      0  68        0         1
#> 28    24.00      0  67        1         0
#> 54    24.00      0  53        1         0
#> 62    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 95.1  24.00      0  68        0         1
#> 54.1  24.00      0  53        1         0
#> 141   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 193   24.00      0  45        0         1
#> 152   24.00      0  36        0         1
#> 148   24.00      0  61        1         0
#> 71    24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 119   24.00      0  17        0         0
#> 122   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 53.1  24.00      0  32        0         1
#> 147   24.00      0  76        1         0
#> 102   24.00      0  49        0         0
#> 144   24.00      0  28        0         1
#> 109   24.00      0  48        0         0
#> 116.1 24.00      0  58        0         1
#> 196   24.00      0  19        0         0
#> 119.1 24.00      0  17        0         0
#> 182.1 24.00      0  35        0         0
#> 33    24.00      0  53        0         0
#> 141.1 24.00      0  44        1         0
#> 119.2 24.00      0  17        0         0
#> 200.1 24.00      0  64        0         0
#> 27    24.00      0  63        1         0
#> 62.1  24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 121   24.00      0  57        1         0
#> 34    24.00      0  36        0         0
#> 54.2  24.00      0  53        1         0
#> 174.1 24.00      0  49        1         0
#> 87    24.00      0  27        0         0
#> 196.1 24.00      0  19        0         0
#> 112   24.00      0  61        0         0
#> 98    24.00      0  34        1         0
#> 121.1 24.00      0  57        1         0
#> 122.1 24.00      0  66        0         0
#> 119.3 24.00      0  17        0         0
#> 3     24.00      0  31        1         0
#> 53.2  24.00      0  32        0         1
#> 146   24.00      0  63        1         0
#> 65    24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 20    24.00      0  46        1         0
#> 138   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 163   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 27.1  24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 198   24.00      0  66        0         1
#> 7     24.00      0  37        1         0
#> 147.1 24.00      0  76        1         0
#> 19    24.00      0  57        0         1
#> 162   24.00      0  51        0         0
#> 142.1 24.00      0  53        0         0
#> 126.1 24.00      0  48        0         0
#> 35    24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 19.1  24.00      0  57        0         1
#> 173   24.00      0  19        0         1
#> 73    24.00      0  NA        0         1
#> 156   24.00      0  50        1         0
#> 173.1 24.00      0  19        0         1
#> 103   24.00      0  56        1         0
#> 74    24.00      0  43        0         1
#> 162.1 24.00      0  51        0         0
#> 172.1 24.00      0  41        0         0
#> 186   24.00      0  45        1         0
#> 12    24.00      0  63        0         0
#> 12.1  24.00      0  63        0         0
#> 9     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 142.2 24.00      0  53        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0520         NA        NA      NA
#> 2 age, Cure model         -0.00877        NA        NA      NA
#> 3 grade_ii, Cure model     0.372          NA        NA      NA
#> 4 grade_iii, Cure model    1.17           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00580        NA        NA      NA
#> 2 grade_ii, Survival model   0.837          NA        NA      NA
#> 3 grade_iii, Survival model  0.602          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.051976         -0.008768          0.372486          1.173782  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 249.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.051976070     -0.008767838      0.372485798      1.173781856 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005799595      0.837204712      0.602348200 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.85799965 0.89378765 0.48144211 0.78646632 0.89880014 0.98290230
#>   [7] 0.87875840 0.38360015 0.25985743 0.55135045 0.97412785 0.44399177
#>  [13] 0.74351341 0.09085413 0.79807703 0.30141310 0.96521083 0.65976788
#>  [19] 0.74351341 0.59501918 0.74351341 0.86845065 0.82041073 0.38360015
#>  [25] 0.48144211 0.95156976 0.94237335 0.78646632 0.09085413 0.87362730
#>  [31] 0.68225885 0.91852401 0.52262131 0.76230803 0.83145120 0.92816936
#>  [37] 0.09085413 0.52262131 0.90376846 0.83145120 0.30141310 0.56948950
#>  [43] 0.70383414 0.19805347 0.64398966 0.88877152 0.59501918 0.72397912
#>  [49] 0.72397912 0.42902011 0.90376846 0.94237335 0.55135045 0.65976788
#>  [55] 0.33484954 0.76230803 0.70383414 0.56948950 0.65976788 0.95156976
#>  [61] 0.93295944 0.19805347 0.59501918 0.80381321 0.70383414 0.77447437
#>  [67] 0.93295944 0.80381321 0.68225885 0.84755295 0.82041073 0.46932293
#>  [73] 0.78051099 0.91363278 0.25985743 0.98723966 0.97853227 0.38360015
#>  [79] 0.64398966 0.86323135 0.99575986 0.58656946 0.83145120 0.48144211
#>  [85] 0.80381321 0.59501918 0.62752533 0.33484954 0.87875840 0.44399177
#>  [91] 0.19805347 0.63577967 0.52262131 0.48144211 0.84755295 0.69671183
#>  [97] 0.98723966 0.96068378 0.72397912 0.92337388 0.36725090 0.96968735
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   180    14    36     5   154    77    60   175   113    32   149   197    45 
#> 14.82 12.89 21.19 16.43 12.63  7.27 13.15 21.91 22.86 20.90  8.37 21.60 17.42 
#>    78    79    63   183   108  45.1   150  45.2    57   100 175.1  36.1   101 
#> 23.88 16.23 22.77  9.24 18.29 17.42 20.33 17.42 14.46 16.07 21.91 21.19  9.97 
#>   145   5.1  78.1    13    51    43    90   106    39    10  78.2  90.1    56 
#> 10.07 16.43 23.88 14.34 18.23 12.10 20.94 16.67 15.59 10.53 23.88 20.94 12.21 
#>  39.1  63.1   190   110    92   170   155 150.1   117 117.1   136  56.1 145.1 
#> 15.59 22.77 20.81 17.56 22.92 19.54 13.08 20.33 17.46 17.46 21.83 12.21 10.07 
#>  32.1 108.1    15 106.1 110.1 190.1 108.2 101.1    93  92.1 150.2   188 110.2 
#> 20.90 18.29 22.68 16.67 17.56 20.81 18.29  9.97 10.33 22.92 20.33 16.16 17.56 
#>   130  93.1 188.1  51.1    29 100.1   153   192    49 113.1    25    70 175.2 
#> 16.47 10.33 16.16 18.23 15.45 16.07 21.33 16.44 12.19 22.86  6.32  7.38 21.91 
#> 170.1   133    91   128  39.2    99 188.2 150.3   166  15.1  60.1 197.1  92.2 
#> 19.54 14.65  5.33 20.35 15.59 21.19 16.16 20.33 19.98 22.68 13.15 21.60 22.92 
#>   105  90.2  36.2  29.1    41  25.1   187 117.2   107   169    16    95   172 
#> 19.75 20.94 21.19 15.45 18.02  6.32  9.92 17.46 11.18 22.41  8.71 24.00 24.00 
#>   120   182   200    64    48 120.1    28    54    62    38   174  95.1  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141    53   193   152   148    71   116   119   122   104  53.1   147   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   109 116.1   196 119.1 182.1    33 141.1 119.2 200.1    27  62.1    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121    34  54.2 174.1    87 196.1   112    98 121.1 122.1 119.3     3  53.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    65   191    20   138   142   163 163.1  27.1   126   198     7 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   162 142.1 126.1    35    80  19.1   173   156 173.1   103    74 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1   186    12  12.1     9    47 142.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[49]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002651811               0.413093364               0.272842701 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.37803478              0.01954209              0.40524140 
#>   grade_iii, Cure model 
#>              1.36374724 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 26    15.77      1  49        0         1
#> 25     6.32      1  34        1         0
#> 76    19.22      1  54        0         1
#> 111   17.45      1  47        0         1
#> 45    17.42      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 194   22.40      1  38        0         1
#> 180   14.82      1  37        0         0
#> 183    9.24      1  67        1         0
#> 18    15.21      1  49        1         0
#> 170   19.54      1  43        0         1
#> 105   19.75      1  60        0         0
#> 40    18.00      1  28        1         0
#> 60    13.15      1  38        1         0
#> 76.1  19.22      1  54        0         1
#> 57    14.46      1  45        0         1
#> 199   19.81      1  NA        0         1
#> 105.1 19.75      1  60        0         0
#> 170.1 19.54      1  43        0         1
#> 177   12.53      1  75        0         0
#> 108   18.29      1  39        0         1
#> 26.1  15.77      1  49        0         1
#> 51.1  18.23      1  83        0         1
#> 194.1 22.40      1  38        0         1
#> 69    23.23      1  25        0         1
#> 189.1 10.51      1  NA        1         0
#> 180.1 14.82      1  37        0         0
#> 101    9.97      1  10        0         1
#> 15    22.68      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 24    23.89      1  38        0         0
#> 79    16.23      1  54        1         0
#> 90    20.94      1  50        0         1
#> 155   13.08      1  26        0         0
#> 25.1   6.32      1  34        1         0
#> 105.2 19.75      1  60        0         0
#> 40.1  18.00      1  28        1         0
#> 99    21.19      1  38        0         1
#> 164   23.60      1  76        0         1
#> 128   20.35      1  35        0         1
#> 41    18.02      1  40        1         0
#> 4     17.64      1  NA        0         1
#> 164.1 23.60      1  76        0         1
#> 24.1  23.89      1  38        0         0
#> 59    10.16      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 189.2 10.51      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 36    21.19      1  48        0         1
#> 25.2   6.32      1  34        1         0
#> 52    10.42      1  52        0         1
#> 16     8.71      1  71        0         1
#> 183.1  9.24      1  67        1         0
#> 127    3.53      1  62        0         1
#> 6     15.64      1  39        0         0
#> 15.1  22.68      1  48        0         0
#> 154   12.63      1  20        1         0
#> 51.2  18.23      1  83        0         1
#> 197   21.60      1  69        1         0
#> 197.1 21.60      1  69        1         0
#> 39    15.59      1  37        0         1
#> 29.1  15.45      1  68        1         0
#> 117   17.46      1  26        0         1
#> 108.1 18.29      1  39        0         1
#> 68    20.62      1  44        0         0
#> 125   15.65      1  67        1         0
#> 76.2  19.22      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 157   15.10      1  47        0         0
#> 177.1 12.53      1  75        0         0
#> 85    16.44      1  36        0         0
#> 111.1 17.45      1  47        0         1
#> 124    9.73      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 195.1 11.76      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 50    10.02      1  NA        1         0
#> 180.2 14.82      1  37        0         0
#> 150   20.33      1  48        0         0
#> 23    16.92      1  61        0         0
#> 197.2 21.60      1  69        1         0
#> 43    12.10      1  61        0         1
#> 127.1  3.53      1  62        0         1
#> 36.1  21.19      1  48        0         1
#> 40.2  18.00      1  28        1         0
#> 107   11.18      1  54        1         0
#> 159   10.55      1  50        0         1
#> 39.1  15.59      1  37        0         1
#> 171   16.57      1  41        0         1
#> 69.1  23.23      1  25        0         1
#> 183.2  9.24      1  67        1         0
#> 91     5.33      1  61        0         1
#> 58    19.34      1  39        0         0
#> 37    12.52      1  57        1         0
#> 108.2 18.29      1  39        0         1
#> 63    22.77      1  31        1         0
#> 92    22.92      1  47        0         1
#> 63.1  22.77      1  31        1         0
#> 63.2  22.77      1  31        1         0
#> 166   19.98      1  48        0         0
#> 5.1   16.43      1  51        0         1
#> 168   23.72      1  70        0         0
#> 100   16.07      1  60        0         0
#> 189.3 10.51      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 117.1 17.46      1  26        0         1
#> 129   23.41      1  53        1         0
#> 190   20.81      1  42        1         0
#> 186   24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 118   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 3     24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 84    24.00      0  39        0         1
#> 74    24.00      0  43        0         1
#> 120.1 24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 46    24.00      0  71        0         0
#> 151   24.00      0  42        0         0
#> 53    24.00      0  32        0         1
#> 2     24.00      0   9        0         0
#> 143   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 54    24.00      0  53        1         0
#> 62    24.00      0  71        0         0
#> 33.1  24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 3.1   24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 35    24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 196   24.00      0  19        0         0
#> 33.2  24.00      0  53        0         0
#> 151.1 24.00      0  42        0         0
#> 121   24.00      0  57        1         0
#> 131   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 75    24.00      0  21        1         0
#> 174   24.00      0  49        1         0
#> 74.1  24.00      0  43        0         1
#> 160   24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 20.1  24.00      0  46        1         0
#> 193   24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 119   24.00      0  17        0         0
#> 73    24.00      0  NA        0         1
#> 160.1 24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 200   24.00      0  64        0         0
#> 31    24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 48    24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 156   24.00      0  50        1         0
#> 120.2 24.00      0  68        0         1
#> 74.2  24.00      0  43        0         1
#> 104.1 24.00      0  50        1         0
#> 53.1  24.00      0  32        0         1
#> 163   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 151.2 24.00      0  42        0         0
#> 112.1 24.00      0  61        0         0
#> 112.2 24.00      0  61        0         0
#> 98    24.00      0  34        1         0
#> 28.1  24.00      0  67        1         0
#> 11    24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 172   24.00      0  41        0         0
#> 186.1 24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 161.1 24.00      0  45        0         0
#> 176   24.00      0  43        0         1
#> 141   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 62.1  24.00      0  71        0         0
#> 120.3 24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 74.3  24.00      0  43        0         1
#> 98.1  24.00      0  34        1         0
#> 53.2  24.00      0  32        0         1
#> 75.1  24.00      0  21        1         0
#> 156.1 24.00      0  50        1         0
#> 119.1 24.00      0  17        0         0
#> 138   24.00      0  44        1         0
#> 112.3 24.00      0  61        0         0
#> 80    24.00      0  41        0         0
#> 148   24.00      0  61        1         0
#> 173   24.00      0  19        0         1
#> 122   24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 196.1 24.00      0  19        0         0
#> 64.1  24.00      0  43        0         0
#> 67    24.00      0  25        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.38          NA        NA      NA
#> 2 age, Cure model           0.0195        NA        NA      NA
#> 3 grade_ii, Cure model      0.405         NA        NA      NA
#> 4 grade_iii, Cure model     1.36          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00265        NA        NA      NA
#> 2 grade_ii, Survival model   0.413          NA        NA      NA
#> 3 grade_iii, Survival model  0.273          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.37803           0.01954           0.40524           1.36375  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 240.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.37803478       0.01954209       0.40524140       1.36374724 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002651811      0.413093364      0.272842701 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.74744721 0.95945554 0.49360476 0.64292478 0.66757263 0.56662332
#>   [7] 0.27262874 0.82315132 0.93185419 0.80827817 0.46445574 0.43511782
#>  [13] 0.60127143 0.85256448 0.49360476 0.84518591 0.43511782 0.46445574
#>  [19] 0.87452670 0.53988873 0.74744721 0.56662332 0.27262874 0.16060380
#>  [25] 0.82315132 0.92478003 0.24651038 0.65933800 0.03184636 0.71609345
#>  [31] 0.37344362 0.85990040 0.95945554 0.43511782 0.60127143 0.34228487
#>  [37] 0.10540436 0.40463430 0.59257805 0.10540436 0.03184636 0.73177593
#>  [43] 0.79336597 0.34228487 0.95945554 0.91768693 0.95253946 0.93185419
#>  [49] 0.98656217 0.77054721 0.24651038 0.86723186 0.56662332 0.29766329
#>  [55] 0.29766329 0.77822320 0.79336597 0.62630451 0.53988873 0.39432494
#>  [61] 0.76286288 0.49360476 0.52149587 0.52149587 0.81571924 0.87452670
#>  [67] 0.69204054 0.64292478 0.33106226 0.70015117 0.82315132 0.41482901
#>  [73] 0.67575519 0.29766329 0.89622552 0.98656217 0.34228487 0.60127143
#>  [79] 0.90341688 0.91056588 0.77822320 0.68392038 0.16060380 0.93185419
#>  [85] 0.97976931 0.48383675 0.88900262 0.53988873 0.20785371 0.19207344
#>  [91] 0.20785371 0.20785371 0.42498984 0.70015117 0.07865453 0.73961873
#>  [97] 0.71609345 0.62630451 0.14251693 0.38398214 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>    26    25    76   111    45    51   194   180   183    18   170   105    40 
#> 15.77  6.32 19.22 17.45 17.42 18.23 22.40 14.82  9.24 15.21 19.54 19.75 18.00 
#>    60  76.1    57 105.1 170.1   177   108  26.1  51.1 194.1    69 180.1   101 
#> 13.15 19.22 14.46 19.75 19.54 12.53 18.29 15.77 18.23 22.40 23.23 14.82  9.97 
#>    15    30    24    79    90   155  25.1 105.2  40.1    99   164   128    41 
#> 22.68 17.43 23.89 16.23 20.94 13.08  6.32 19.75 18.00 21.19 23.60 20.35 18.02 
#> 164.1  24.1   188    29    36  25.2    52    16 183.1   127     6  15.1   154 
#> 23.60 23.89 16.16 15.45 21.19  6.32 10.42  8.71  9.24  3.53 15.64 22.68 12.63 
#>  51.2   197 197.1    39  29.1   117 108.1    68   125  76.2    97  97.1   157 
#> 18.23 21.60 21.60 15.59 15.45 17.46 18.29 20.62 15.65 19.22 19.14 19.14 15.10 
#> 177.1    85 111.1   139     5 180.2   150    23 197.2    43 127.1  36.1  40.2 
#> 12.53 16.44 17.45 21.49 16.43 14.82 20.33 16.92 21.60 12.10  3.53 21.19 18.00 
#>   107   159  39.1   171  69.1 183.2    91    58    37 108.2    63    92  63.1 
#> 11.18 10.55 15.59 16.57 23.23  9.24  5.33 19.34 12.52 18.29 22.77 22.92 22.77 
#>  63.2   166   5.1   168   100  79.1 117.1   129   190   186   120   118   126 
#> 22.77 19.98 16.43 23.72 16.07 16.23 17.46 23.41 20.81 24.00 24.00 24.00 24.00 
#>     3     7    84    74 120.1    33    46   151    53     2   143    21    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62  33.1    20   3.1   103    35    28   196  33.2 151.1   121   131   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   174  74.1   160   162    83  20.1   193   116   119 160.1   104   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31     1    48   112   156 120.2  74.2 104.1  53.1   163    22 151.2 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.2    98  28.1    11   146   172 186.1    34 161.1   176   141   165  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.3   144  74.3  98.1  53.2  75.1 156.1 119.1   138 112.3    80   148   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    64 196.1  64.1    67 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[50]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01621068                0.42053521                0.32330140 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.64161367             -0.01692827              0.06958740 
#>   grade_iii, Cure model 
#>              1.00441582 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 96    14.54      1  33        0         1
#> 155   13.08      1  26        0         0
#> 90    20.94      1  50        0         1
#> 68    20.62      1  44        0         0
#> 36    21.19      1  48        0         1
#> 130   16.47      1  53        0         1
#> 52    10.42      1  52        0         1
#> 108   18.29      1  39        0         1
#> 99    21.19      1  38        0         1
#> 66    22.13      1  53        0         0
#> 153   21.33      1  55        1         0
#> 76    19.22      1  54        0         1
#> 188   16.16      1  46        0         1
#> 81    14.06      1  34        0         0
#> 149    8.37      1  33        1         0
#> 124    9.73      1  NA        1         0
#> 149.1  8.37      1  33        1         0
#> 23    16.92      1  61        0         0
#> 149.2  8.37      1  33        1         0
#> 59    10.16      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 158   20.14      1  74        1         0
#> 175   21.91      1  43        0         0
#> 192   16.44      1  31        1         0
#> 130.1 16.47      1  53        0         1
#> 150   20.33      1  48        0         0
#> 45.1  17.42      1  54        0         1
#> 145   10.07      1  65        1         0
#> 8     18.43      1  32        0         0
#> 171   16.57      1  41        0         1
#> 5     16.43      1  51        0         1
#> 199   19.81      1  NA        0         1
#> 190   20.81      1  42        1         0
#> 190.1 20.81      1  42        1         0
#> 88    18.37      1  47        0         0
#> 41    18.02      1  40        1         0
#> 55    19.34      1  69        0         1
#> 170   19.54      1  43        0         1
#> 168   23.72      1  70        0         0
#> 15    22.68      1  48        0         0
#> 164   23.60      1  76        0         1
#> 155.1 13.08      1  26        0         0
#> 63    22.77      1  31        1         0
#> 107   11.18      1  54        1         0
#> 50    10.02      1  NA        1         0
#> 5.1   16.43      1  51        0         1
#> 60    13.15      1  38        1         0
#> 58    19.34      1  39        0         0
#> 58.1  19.34      1  39        0         0
#> 111   17.45      1  47        0         1
#> 68.1  20.62      1  44        0         0
#> 30    17.43      1  78        0         0
#> 63.1  22.77      1  31        1         0
#> 60.1  13.15      1  38        1         0
#> 25     6.32      1  34        1         0
#> 93    10.33      1  52        0         1
#> 130.2 16.47      1  53        0         1
#> 158.1 20.14      1  74        1         0
#> 58.2  19.34      1  39        0         0
#> 123   13.00      1  44        1         0
#> 91     5.33      1  61        0         1
#> 79    16.23      1  54        1         0
#> 170.1 19.54      1  43        0         1
#> 179   18.63      1  42        0         0
#> 16     8.71      1  71        0         1
#> 180   14.82      1  37        0         0
#> 52.1  10.42      1  52        0         1
#> 128   20.35      1  35        0         1
#> 13    14.34      1  54        0         1
#> 117   17.46      1  26        0         1
#> 133   14.65      1  57        0         0
#> 108.1 18.29      1  39        0         1
#> 124.1  9.73      1  NA        1         0
#> 149.3  8.37      1  33        1         0
#> 45.2  17.42      1  54        0         1
#> 117.1 17.46      1  26        0         1
#> 97    19.14      1  65        0         1
#> 188.1 16.16      1  46        0         1
#> 25.1   6.32      1  34        1         0
#> 106   16.67      1  49        1         0
#> 140   12.68      1  59        1         0
#> 49    12.19      1  48        1         0
#> 14    12.89      1  21        0         0
#> 195   11.76      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 166   19.98      1  48        0         0
#> 92    22.92      1  47        0         1
#> 101    9.97      1  10        0         1
#> 155.2 13.08      1  26        0         0
#> 23.1  16.92      1  61        0         0
#> 99.1  21.19      1  38        0         1
#> 179.1 18.63      1  42        0         0
#> 52.2  10.42      1  52        0         1
#> 199.1 19.81      1  NA        0         1
#> 58.3  19.34      1  39        0         0
#> 16.1   8.71      1  71        0         1
#> 129   23.41      1  53        1         0
#> 43    12.10      1  61        0         1
#> 78    23.88      1  43        0         0
#> 139   21.49      1  63        1         0
#> 81.1  14.06      1  34        0         0
#> 140.1 12.68      1  59        1         0
#> 85    16.44      1  36        0         0
#> 195.1 11.76      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 55.1  19.34      1  69        0         1
#> 55.2  19.34      1  69        0         1
#> 52.3  10.42      1  52        0         1
#> 81.2  14.06      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 187    9.92      1  39        1         0
#> 70     7.38      1  30        1         0
#> 191   24.00      0  60        0         1
#> 35    24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 138   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 132   24.00      0  55        0         0
#> 83    24.00      0   6        0         0
#> 185   24.00      0  44        1         0
#> 191.1 24.00      0  60        0         1
#> 75    24.00      0  21        1         0
#> 28    24.00      0  67        1         0
#> 7     24.00      0  37        1         0
#> 83.1  24.00      0   6        0         0
#> 120   24.00      0  68        0         1
#> 148   24.00      0  61        1         0
#> 156   24.00      0  50        1         0
#> 161   24.00      0  45        0         0
#> 65    24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 182   24.00      0  35        0         0
#> 185.1 24.00      0  44        1         0
#> 182.1 24.00      0  35        0         0
#> 165   24.00      0  47        0         0
#> 120.1 24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 72    24.00      0  40        0         1
#> 48.1  24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 1     24.00      0  23        1         0
#> 80    24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 103   24.00      0  56        1         0
#> 193   24.00      0  45        0         1
#> 156.1 24.00      0  50        1         0
#> 98    24.00      0  34        1         0
#> 131   24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 74.1  24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 46    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 62    24.00      0  71        0         0
#> 178.1 24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 119   24.00      0  17        0         0
#> 44    24.00      0  56        0         0
#> 103.1 24.00      0  56        1         0
#> 186   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 74.2  24.00      0  43        0         1
#> 185.2 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 198   24.00      0  66        0         1
#> 115.1 24.00      0  NA        1         0
#> 185.3 24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 131.1 24.00      0  66        0         0
#> 172.1 24.00      0  41        0         0
#> 191.2 24.00      0  60        0         1
#> 182.2 24.00      0  35        0         0
#> 35.1  24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 3     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 191.3 24.00      0  60        0         1
#> 185.4 24.00      0  44        1         0
#> 12.1  24.00      0  63        0         0
#> 191.4 24.00      0  60        0         1
#> 22    24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 146.1 24.00      0  63        1         0
#> 98.1  24.00      0  34        1         0
#> 17    24.00      0  38        0         1
#> 132.1 24.00      0  55        0         0
#> 95    24.00      0  68        0         1
#> 198.1 24.00      0  66        0         1
#> 116   24.00      0  58        0         1
#> 147   24.00      0  76        1         0
#> 46.1  24.00      0  71        0         0
#> 35.2  24.00      0  51        0         0
#> 46.2  24.00      0  71        0         0
#> 122.1 24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.642         NA        NA      NA
#> 2 age, Cure model          -0.0169        NA        NA      NA
#> 3 grade_ii, Cure model      0.0696        NA        NA      NA
#> 4 grade_iii, Cure model     1.00          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0162        NA        NA      NA
#> 2 grade_ii, Survival model    0.421         NA        NA      NA
#> 3 grade_iii, Survival model   0.323         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.64161          -0.01693           0.06959           1.00442  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 250.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.64161367      -0.01692827       0.06958740       1.00441582 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01621068       0.42053521       0.32330140 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 5.088274e-01 5.983269e-01 4.838640e-02 6.329738e-02 3.537166e-02
#>   [6] 3.685186e-01 7.343246e-01 2.189535e-01 3.537166e-02 1.915695e-02
#>  [11] 3.092764e-02 1.668550e-01 4.600162e-01 5.340523e-01 8.799175e-01
#>  [16] 8.799175e-01 3.252389e-01 8.799175e-01 2.950184e-01 8.570850e-02
#>  [21] 2.277707e-02 4.018362e-01 3.685186e-01 7.978119e-02 2.950184e-01
#>  [26] 8.056482e-01 2.007815e-01 3.574876e-01 4.247008e-01 5.337585e-02
#>  [31] 5.337585e-02 2.097625e-01 2.373521e-01 1.179632e-01 1.046544e-01
#>  [36] 1.364744e-03 1.589311e-02 2.848287e-03 5.983269e-01 1.056210e-02
#>  [41] 7.201879e-01 4.247008e-01 5.723162e-01 1.179632e-01 1.179632e-01
#>  [46] 2.752878e-01 6.329738e-02 2.850306e-01 1.056210e-02 5.723162e-01
#>  [51] 9.543704e-01 7.909782e-01 3.685186e-01 8.570850e-02 1.179632e-01
#>  [56] 6.377917e-01 9.846343e-01 4.480632e-01 1.046544e-01 1.835264e-01
#>  [61] 8.499942e-01 4.840362e-01 7.343246e-01 7.408289e-02 5.213752e-01
#>  [66] 2.563804e-01 4.963385e-01 2.189535e-01 8.799175e-01 2.950184e-01
#>  [71] 2.563804e-01 1.750878e-01 4.600162e-01 9.543704e-01 3.465543e-01
#>  [76] 6.648895e-01 6.922502e-01 6.513000e-01 2.468132e-01 9.804593e-02
#>  [81] 7.611229e-03 8.204446e-01 5.983269e-01 3.252389e-01 3.537166e-02
#>  [86] 1.835264e-01 7.343246e-01 1.179632e-01 8.499942e-01 5.023818e-03
#>  [91] 7.061519e-01 6.990724e-05 2.671180e-02 5.340523e-01 6.648895e-01
#>  [96] 4.018362e-01 5.206138e-04 1.179632e-01 1.179632e-01 7.343246e-01
#> [101] 5.340523e-01 8.351945e-01 9.391761e-01 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    96   155    90    68    36   130    52   108    99    66   153    76   188 
#> 14.54 13.08 20.94 20.62 21.19 16.47 10.42 18.29 21.19 22.13 21.33 19.22 16.16 
#>    81   149 149.1    23 149.2    45   158   175   192 130.1   150  45.1   145 
#> 14.06  8.37  8.37 16.92  8.37 17.42 20.14 21.91 16.44 16.47 20.33 17.42 10.07 
#>     8   171     5   190 190.1    88    41    55   170   168    15   164 155.1 
#> 18.43 16.57 16.43 20.81 20.81 18.37 18.02 19.34 19.54 23.72 22.68 23.60 13.08 
#>    63   107   5.1    60    58  58.1   111  68.1    30  63.1  60.1    25    93 
#> 22.77 11.18 16.43 13.15 19.34 19.34 17.45 20.62 17.43 22.77 13.15  6.32 10.33 
#> 130.2 158.1  58.2   123    91    79 170.1   179    16   180  52.1   128    13 
#> 16.47 20.14 19.34 13.00  5.33 16.23 19.54 18.63  8.71 14.82 10.42 20.35 14.34 
#>   117   133 108.1 149.3  45.2 117.1    97 188.1  25.1   106   140    49    14 
#> 17.46 14.65 18.29  8.37 17.42 17.46 19.14 16.16  6.32 16.67 12.68 12.19 12.89 
#>   134   166    92   101 155.2  23.1  99.1 179.1  52.2  58.3  16.1   129    43 
#> 17.81 19.98 22.92  9.97 13.08 16.92 21.19 18.63 10.42 19.34  8.71 23.41 12.10 
#>    78   139  81.1 140.1    85    86  55.1  55.2  52.3  81.2   187    70   191 
#> 23.88 21.49 14.06 12.68 16.44 23.81 19.34 19.34 10.42 14.06  9.92  7.38 24.00 
#>    35   172     2   138    74   132    83   185 191.1    75    28     7  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120   148   156   161    65   137    48   102   182 185.1 182.1   165 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   178    72  48.1    20     1    80    21   103   193 156.1    98   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122   126  74.1    67    46    62 178.1   152   119    44 103.1   186    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.2 185.2   112   198 185.3   160   146 131.1 172.1 191.2 182.2  35.1    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3    19 191.3 185.4  12.1 191.4    22    94 146.1  98.1    17 132.1    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.1   116   147  46.1  35.2  46.2 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[51]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01625295                0.43007046                0.44976167 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.52488918              0.01199236             -0.09662949 
#>   grade_iii, Cure model 
#>              0.57742660 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 188   16.16      1  46        0         1
#> 171   16.57      1  41        0         1
#> 187    9.92      1  39        1         0
#> 36    21.19      1  48        0         1
#> 61    10.12      1  36        0         1
#> 177   12.53      1  75        0         0
#> 154   12.63      1  20        1         0
#> 6     15.64      1  39        0         0
#> 51    18.23      1  83        0         1
#> 192   16.44      1  31        1         0
#> 88    18.37      1  47        0         0
#> 5     16.43      1  51        0         1
#> 14    12.89      1  21        0         0
#> 32    20.90      1  37        1         0
#> 23    16.92      1  61        0         0
#> 125   15.65      1  67        1         0
#> 5.1   16.43      1  51        0         1
#> 139   21.49      1  63        1         0
#> 164   23.60      1  76        0         1
#> 68    20.62      1  44        0         0
#> 40    18.00      1  28        1         0
#> 49    12.19      1  48        1         0
#> 5.2   16.43      1  51        0         1
#> 125.1 15.65      1  67        1         0
#> 61.1  10.12      1  36        0         1
#> 91     5.33      1  61        0         1
#> 4     17.64      1  NA        0         1
#> 29    15.45      1  68        1         0
#> 51.1  18.23      1  83        0         1
#> 88.1  18.37      1  47        0         0
#> 5.3   16.43      1  51        0         1
#> 145   10.07      1  65        1         0
#> 150   20.33      1  48        0         0
#> 15    22.68      1  48        0         0
#> 81    14.06      1  34        0         0
#> 139.1 21.49      1  63        1         0
#> 153   21.33      1  55        1         0
#> 18    15.21      1  49        1         0
#> 133   14.65      1  57        0         0
#> 96    14.54      1  33        0         1
#> 129   23.41      1  53        1         0
#> 6.1   15.64      1  39        0         0
#> 170   19.54      1  43        0         1
#> 140   12.68      1  59        1         0
#> 123   13.00      1  44        1         0
#> 111   17.45      1  47        0         1
#> 41    18.02      1  40        1         0
#> 91.1   5.33      1  61        0         1
#> 192.1 16.44      1  31        1         0
#> 166   19.98      1  48        0         0
#> 39    15.59      1  37        0         1
#> 13    14.34      1  54        0         1
#> 29.1  15.45      1  68        1         0
#> 91.2   5.33      1  61        0         1
#> 129.1 23.41      1  53        1         0
#> 96.1  14.54      1  33        0         1
#> 150.1 20.33      1  48        0         0
#> 184   17.77      1  38        0         0
#> 86    23.81      1  58        0         1
#> 36.1  21.19      1  48        0         1
#> 55    19.34      1  69        0         1
#> 56    12.21      1  60        0         0
#> 99    21.19      1  38        0         1
#> 168   23.72      1  70        0         0
#> 184.1 17.77      1  38        0         0
#> 70     7.38      1  30        1         0
#> 39.1  15.59      1  37        0         1
#> 101    9.97      1  10        0         1
#> 169   22.41      1  46        0         0
#> 66    22.13      1  53        0         0
#> 164.1 23.60      1  76        0         1
#> 167   15.55      1  56        1         0
#> 108   18.29      1  39        0         1
#> 39.2  15.59      1  37        0         1
#> 23.1  16.92      1  61        0         0
#> 170.1 19.54      1  43        0         1
#> 41.1  18.02      1  40        1         0
#> 197   21.60      1  69        1         0
#> 91.3   5.33      1  61        0         1
#> 4.1   17.64      1  NA        0         1
#> 58    19.34      1  39        0         0
#> 85    16.44      1  36        0         0
#> 199   19.81      1  NA        0         1
#> 36.2  21.19      1  48        0         1
#> 4.2   17.64      1  NA        0         1
#> 145.1 10.07      1  65        1         0
#> 70.1   7.38      1  30        1         0
#> 194   22.40      1  38        0         1
#> 177.1 12.53      1  75        0         0
#> 85.1  16.44      1  36        0         0
#> 175   21.91      1  43        0         0
#> 127    3.53      1  62        0         1
#> 155   13.08      1  26        0         0
#> 189   10.51      1  NA        1         0
#> 49.1  12.19      1  48        1         0
#> 197.1 21.60      1  69        1         0
#> 158   20.14      1  74        1         0
#> 91.4   5.33      1  61        0         1
#> 130   16.47      1  53        0         1
#> 170.2 19.54      1  43        0         1
#> 93    10.33      1  52        0         1
#> 171.1 16.57      1  41        0         1
#> 77     7.27      1  67        0         1
#> 24    23.89      1  38        0         0
#> 39.3  15.59      1  37        0         1
#> 184.2 17.77      1  38        0         0
#> 50    10.02      1  NA        1         0
#> 166.1 19.98      1  48        0         0
#> 32.1  20.90      1  37        1         0
#> 180   14.82      1  37        0         0
#> 113   22.86      1  34        0         0
#> 188.1 16.16      1  46        0         1
#> 35    24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 152   24.00      0  36        0         1
#> 126   24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 119   24.00      0  17        0         0
#> 193   24.00      0  45        0         1
#> 19    24.00      0  57        0         1
#> 141   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 147   24.00      0  76        1         0
#> 28    24.00      0  67        1         0
#> 132.1 24.00      0  55        0         0
#> 21    24.00      0  47        0         0
#> 104   24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 156   24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 84    24.00      0  39        0         1
#> 34    24.00      0  36        0         0
#> 22    24.00      0  52        1         0
#> 54    24.00      0  53        1         0
#> 165   24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 64    24.00      0  43        0         0
#> 112   24.00      0  61        0         0
#> 173   24.00      0  19        0         1
#> 193.1 24.00      0  45        0         1
#> 135   24.00      0  58        1         0
#> 144   24.00      0  28        0         1
#> 126.1 24.00      0  48        0         0
#> 185   24.00      0  44        1         0
#> 165.1 24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 198   24.00      0  66        0         1
#> 132.2 24.00      0  55        0         0
#> 193.2 24.00      0  45        0         1
#> 87.1  24.00      0  27        0         0
#> 48    24.00      0  31        1         0
#> 193.3 24.00      0  45        0         1
#> 115   24.00      0  NA        1         0
#> 174.1 24.00      0  49        1         0
#> 27    24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 21.1  24.00      0  47        0         0
#> 185.1 24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 7     24.00      0  37        1         0
#> 109   24.00      0  48        0         0
#> 11    24.00      0  42        0         1
#> 198.1 24.00      0  66        0         1
#> 3.1   24.00      0  31        1         0
#> 3.2   24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 67.1  24.00      0  25        0         0
#> 144.1 24.00      0  28        0         1
#> 115.1 24.00      0  NA        1         0
#> 191   24.00      0  60        0         1
#> 19.1  24.00      0  57        0         1
#> 19.2  24.00      0  57        0         1
#> 31    24.00      0  36        0         1
#> 20.1  24.00      0  46        1         0
#> 44    24.00      0  56        0         0
#> 160   24.00      0  31        1         0
#> 35.1  24.00      0  51        0         0
#> 22.1  24.00      0  52        1         0
#> 9     24.00      0  31        1         0
#> 191.1 24.00      0  60        0         1
#> 84.1  24.00      0  39        0         1
#> 33.1  24.00      0  53        0         0
#> 163.1 24.00      0  66        0         0
#> 163.2 24.00      0  66        0         0
#> 178.1 24.00      0  52        1         0
#> 112.1 24.00      0  61        0         0
#> 31.1  24.00      0  36        0         1
#> 135.1 24.00      0  58        1         0
#> 11.1  24.00      0  42        0         1
#> 147.1 24.00      0  76        1         0
#> 17    24.00      0  38        0         1
#> 132.3 24.00      0  55        0         0
#> 193.4 24.00      0  45        0         1
#> 28.1  24.00      0  67        1         0
#> 75    24.00      0  21        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.525         NA        NA      NA
#> 2 age, Cure model           0.0120        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0966        NA        NA      NA
#> 4 grade_iii, Cure model     0.577         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0163        NA        NA      NA
#> 2 grade_ii, Survival model    0.430         NA        NA      NA
#> 3 grade_iii, Survival model   0.450         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.52489           0.01199          -0.09663           0.57743  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 258.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.52488918       0.01199236      -0.09662949       0.57742660 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01625295       0.43007046       0.44976167 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 4.083690e-01 2.952627e-01 8.589443e-01 5.745115e-02 7.898639e-01
#>   [6] 7.090435e-01 6.960201e-01 4.527568e-01 1.937517e-01 3.256600e-01
#>  [11] 1.687799e-01 3.662764e-01 6.700209e-01 7.873817e-02 2.754459e-01
#>  [16] 4.302867e-01 3.662764e-01 4.155364e-02 2.688131e-03 9.049104e-02
#>  [21] 2.290618e-01 7.490481e-01 3.662764e-01 4.302867e-01 7.898639e-01
#>  [26] 9.147988e-01 5.331416e-01 1.937517e-01 1.687799e-01 3.662764e-01
#>  [31] 8.172205e-01 9.678803e-02 1.355071e-02 6.316023e-01 4.155364e-02
#>  [36] 5.181747e-02 5.571393e-01 5.816838e-01 5.941758e-01 6.223415e-03
#>  [41] 4.527568e-01 1.312844e-01 6.829697e-01 6.571441e-01 2.657976e-01
#>  [46] 2.112607e-01 9.147988e-01 3.256600e-01 1.168413e-01 4.757631e-01
#>  [51] 6.189830e-01 5.331416e-01 9.147988e-01 6.223415e-03 5.941758e-01
#>  [56] 9.678803e-02 2.381513e-01 5.708429e-04 5.745115e-02 1.531203e-01
#>  [61] 7.355303e-01 5.745115e-02 1.361879e-03 2.381513e-01 8.729202e-01
#>  [66] 4.757631e-01 8.450102e-01 1.675178e-02 2.397314e-02 2.688131e-03
#>  [71] 5.212700e-01 1.852565e-01 4.757631e-01 2.754459e-01 1.312844e-01
#>  [76] 2.112607e-01 3.231726e-02 9.147988e-01 1.531203e-01 3.256600e-01
#>  [81] 5.745115e-02 8.172205e-01 8.729202e-01 2.031216e-02 7.090435e-01
#>  [86] 3.256600e-01 2.798877e-02 9.853707e-01 6.443296e-01 7.490481e-01
#>  [91] 3.231726e-02 1.098651e-01 9.147988e-01 3.153423e-01 1.312844e-01
#>  [96] 7.761258e-01 2.952627e-01 9.006978e-01 8.935522e-05 4.757631e-01
#> [101] 2.381513e-01 1.168413e-01 7.873817e-02 5.693518e-01 1.071390e-02
#> [106] 4.083690e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   188   171   187    36    61   177   154     6    51   192    88     5    14 
#> 16.16 16.57  9.92 21.19 10.12 12.53 12.63 15.64 18.23 16.44 18.37 16.43 12.89 
#>    32    23   125   5.1   139   164    68    40    49   5.2 125.1  61.1    91 
#> 20.90 16.92 15.65 16.43 21.49 23.60 20.62 18.00 12.19 16.43 15.65 10.12  5.33 
#>    29  51.1  88.1   5.3   145   150    15    81 139.1   153    18   133    96 
#> 15.45 18.23 18.37 16.43 10.07 20.33 22.68 14.06 21.49 21.33 15.21 14.65 14.54 
#>   129   6.1   170   140   123   111    41  91.1 192.1   166    39    13  29.1 
#> 23.41 15.64 19.54 12.68 13.00 17.45 18.02  5.33 16.44 19.98 15.59 14.34 15.45 
#>  91.2 129.1  96.1 150.1   184    86  36.1    55    56    99   168 184.1    70 
#>  5.33 23.41 14.54 20.33 17.77 23.81 21.19 19.34 12.21 21.19 23.72 17.77  7.38 
#>  39.1   101   169    66 164.1   167   108  39.2  23.1 170.1  41.1   197  91.3 
#> 15.59  9.97 22.41 22.13 23.60 15.55 18.29 15.59 16.92 19.54 18.02 21.60  5.33 
#>    58    85  36.2 145.1  70.1   194 177.1  85.1   175   127   155  49.1 197.1 
#> 19.34 16.44 21.19 10.07  7.38 22.40 12.53 16.44 21.91  3.53 13.08 12.19 21.60 
#>   158  91.4   130 170.2    93 171.1    77    24  39.3 184.2 166.1  32.1   180 
#> 20.14  5.33 16.47 19.54 10.33 16.57  7.27 23.89 15.59 17.77 19.98 20.90 14.82 
#>   113 188.1    35   132   152   126    20   119   193    19   141   174   147 
#> 22.86 16.16 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28 132.1    21   104     3 119.1   156   162   102    84    34    22    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165   178    65    64   112   173 193.1   135   144 126.1   185 165.1   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87   198 132.2 193.2  87.1    48 193.3 174.1    27    67  21.1 185.1   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33     7   109    11 198.1   3.1   3.2   7.1  67.1 144.1   191  19.1  19.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31  20.1    44   160  35.1  22.1     9 191.1  84.1  33.1 163.1 163.2 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1  31.1 135.1  11.1 147.1    17 132.3 193.4  28.1    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[52]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01029388                0.54426054                0.14245376 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.514996627             0.008661096             0.231401866 
#>   grade_iii, Cure model 
#>             0.700288648 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 81    14.06      1  34        0         0
#> 125   15.65      1  67        1         0
#> 184   17.77      1  38        0         0
#> 129   23.41      1  53        1         0
#> 86    23.81      1  58        0         1
#> 101    9.97      1  10        0         1
#> 85    16.44      1  36        0         0
#> 189   10.51      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 130   16.47      1  53        0         1
#> 61    10.12      1  36        0         1
#> 124    9.73      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 99    21.19      1  38        0         1
#> 13    14.34      1  54        0         1
#> 81.1  14.06      1  34        0         0
#> 128   20.35      1  35        0         1
#> 184.1 17.77      1  38        0         0
#> 134   17.81      1  47        1         0
#> 129.1 23.41      1  53        1         0
#> 66    22.13      1  53        0         0
#> 37    12.52      1  57        1         0
#> 81.2  14.06      1  34        0         0
#> 69    23.23      1  25        0         1
#> 183    9.24      1  67        1         0
#> 13.1  14.34      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 175   21.91      1  43        0         0
#> 43    12.10      1  61        0         1
#> 149    8.37      1  33        1         0
#> 150   20.33      1  48        0         0
#> 78    23.88      1  43        0         0
#> 30    17.43      1  78        0         0
#> 8     18.43      1  32        0         0
#> 150.1 20.33      1  48        0         0
#> 91     5.33      1  61        0         1
#> 52    10.42      1  52        0         1
#> 184.2 17.77      1  38        0         0
#> 89    11.44      1  NA        0         0
#> 139   21.49      1  63        1         0
#> 15    22.68      1  48        0         0
#> 55    19.34      1  69        0         1
#> 18    15.21      1  49        1         0
#> 130.1 16.47      1  53        0         1
#> 180   14.82      1  37        0         0
#> 166   19.98      1  48        0         0
#> 128.1 20.35      1  35        0         1
#> 129.2 23.41      1  53        1         0
#> 169   22.41      1  46        0         0
#> 37.1  12.52      1  57        1         0
#> 133   14.65      1  57        0         0
#> 194   22.40      1  38        0         1
#> 96    14.54      1  33        0         1
#> 29    15.45      1  68        1         0
#> 192   16.44      1  31        1         0
#> 8.1   18.43      1  32        0         0
#> 181   16.46      1  45        0         1
#> 68    20.62      1  44        0         0
#> 90    20.94      1  50        0         1
#> 91.1   5.33      1  61        0         1
#> 167   15.55      1  56        1         0
#> 164   23.60      1  76        0         1
#> 13.2  14.34      1  54        0         1
#> 37.2  12.52      1  57        1         0
#> 134.1 17.81      1  47        1         0
#> 97    19.14      1  65        0         1
#> 184.3 17.77      1  38        0         0
#> 49    12.19      1  48        1         0
#> 164.1 23.60      1  76        0         1
#> 40    18.00      1  28        1         0
#> 130.2 16.47      1  53        0         1
#> 76    19.22      1  54        0         1
#> 155   13.08      1  26        0         0
#> 5     16.43      1  51        0         1
#> 18.1  15.21      1  49        1         0
#> 60    13.15      1  38        1         0
#> 134.2 17.81      1  47        1         0
#> 69.1  23.23      1  25        0         1
#> 45    17.42      1  54        0         1
#> 164.2 23.60      1  76        0         1
#> 14    12.89      1  21        0         0
#> 175.1 21.91      1  43        0         0
#> 57    14.46      1  45        0         1
#> 128.2 20.35      1  35        0         1
#> 51    18.23      1  83        0         1
#> 123   13.00      1  44        1         0
#> 57.1  14.46      1  45        0         1
#> 59    10.16      1  NA        1         0
#> 194.1 22.40      1  38        0         1
#> 24    23.89      1  38        0         0
#> 177   12.53      1  75        0         0
#> 145   10.07      1  65        1         0
#> 92    22.92      1  47        0         1
#> 170   19.54      1  43        0         1
#> 5.1   16.43      1  51        0         1
#> 100   16.07      1  60        0         0
#> 125.1 15.65      1  67        1         0
#> 123.1 13.00      1  44        1         0
#> 60.1  13.15      1  38        1         0
#> 26    15.77      1  49        0         1
#> 50    10.02      1  NA        1         0
#> 97.1  19.14      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 154   12.63      1  20        1         0
#> 93    10.33      1  52        0         1
#> 153   21.33      1  55        1         0
#> 130.3 16.47      1  53        0         1
#> 45.1  17.42      1  54        0         1
#> 155.1 13.08      1  26        0         0
#> 6     15.64      1  39        0         0
#> 66.1  22.13      1  53        0         0
#> 61.1  10.12      1  36        0         1
#> 163   24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 162   24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 152   24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 38    24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 73    24.00      0  NA        0         1
#> 112   24.00      0  61        0         0
#> 142   24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 17    24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 73.1  24.00      0  NA        0         1
#> 17.1  24.00      0  38        0         1
#> 151.1 24.00      0  42        0         0
#> 38.1  24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 131   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 196   24.00      0  19        0         0
#> 17.2  24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 71    24.00      0  51        0         0
#> 151.2 24.00      0  42        0         0
#> 74    24.00      0  43        0         1
#> 122   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 12.1  24.00      0  63        0         0
#> 103   24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 87    24.00      0  27        0         0
#> 35    24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 141   24.00      0  44        1         0
#> 122.1 24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 3     24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 172.1 24.00      0  41        0         0
#> 185.1 24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 95.1  24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 141.1 24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 152.1 24.00      0  36        0         1
#> 116   24.00      0  58        0         1
#> 28    24.00      0  67        1         0
#> 193   24.00      0  45        0         1
#> 67    24.00      0  25        0         0
#> 135   24.00      0  58        1         0
#> 44    24.00      0  56        0         0
#> 193.1 24.00      0  45        0         1
#> 119   24.00      0  17        0         0
#> 185.2 24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 9     24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 98.1  24.00      0  34        1         0
#> 173   24.00      0  19        0         1
#> 95.2  24.00      0  68        0         1
#> 19    24.00      0  57        0         1
#> 27    24.00      0  63        1         0
#> 122.2 24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 73.2  24.00      0  NA        0         1
#> 17.3  24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 174   24.00      0  49        1         0
#> 126   24.00      0  48        0         0
#> 185.3 24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 3.1   24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 38.2  24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 82    24.00      0  34        0         0
#> 172.2 24.00      0  41        0         0
#> 82.1  24.00      0  34        0         0
#> 191   24.00      0  60        0         1
#> 143   24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 84.1  24.00      0  39        0         1
#> 48    24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.515          NA        NA      NA
#> 2 age, Cure model          0.00866        NA        NA      NA
#> 3 grade_ii, Cure model     0.231          NA        NA      NA
#> 4 grade_iii, Cure model    0.700          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0103        NA        NA      NA
#> 2 grade_ii, Survival model    0.544         NA        NA      NA
#> 3 grade_iii, Survival model   0.142         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.514997          0.008661          0.231402          0.700289  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 255 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.514996627      0.008661096      0.231401866      0.700288648 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01029388       0.54426054       0.14245376 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6760712019 0.4953501743 0.3112240109 0.0256080593 0.0065691979
#>   [6] 0.9386868336 0.4309046117 0.5729178043 0.3794735188 0.9021161088
#>  [11] 0.1272748624 0.6413374521 0.6760712019 0.1509643605 0.3112240109
#>  [16] 0.2834114217 0.0256080593 0.0834360261 0.8182371278 0.6760712019
#>  [21] 0.0405373632 0.9509371853 0.6413374521 0.0973392658 0.8657601020
#>  [26] 0.9632089362 0.1745592395 0.0030771870 0.3491895608 0.2452094573
#>  [31] 0.1745592395 0.9754453028 0.8778247485 0.3112240109 0.1119935459
#>  [36] 0.0576029104 0.2087618694 0.5507864845 0.3794735188 0.5841766809
#>  [41] 0.1912684914 0.1509643605 0.0256080593 0.0639024916 0.8182371278
#>  [46] 0.5955047139 0.0704457153 0.6069292135 0.5395889531 0.4309046117
#>  [51] 0.2452094573 0.4202447727 0.1429129465 0.1350235002 0.9754453028
#>  [56] 0.5284248376 0.0109609837 0.6413374521 0.8182371278 0.2834114217
#>  [61] 0.2268083476 0.3112240109 0.8537597723 0.0109609837 0.2737593227
#>  [66] 0.3794735188 0.2177217804 0.7349218294 0.4519902278 0.5507864845
#>  [71] 0.7113403266 0.2834114217 0.0405373632 0.3592520297 0.0109609837
#>  [76] 0.7823721055 0.0973392658 0.6183923445 0.1509643605 0.2640069381
#>  [81] 0.7586824093 0.6183923445 0.0704457153 0.0007013907 0.8062427042
#>  [86] 0.9264300371 0.0515613201 0.1999655534 0.4519902278 0.4733933520
#>  [91] 0.4953501743 0.7586824093 0.7113403266 0.4843339748 0.2268083476
#>  [96] 0.7943435087 0.8899435038 0.1196288366 0.3794735188 0.3592520297
#> [101] 0.7349218294 0.5172681988 0.0834360261 0.9021161088 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    81   125   184   129    86   101    85   157   130    61    99    13  81.1 
#> 14.06 15.65 17.77 23.41 23.81  9.97 16.44 15.10 16.47 10.12 21.19 14.34 14.06 
#>   128 184.1   134 129.1    66    37  81.2    69   183  13.1   175    43   149 
#> 20.35 17.77 17.81 23.41 22.13 12.52 14.06 23.23  9.24 14.34 21.91 12.10  8.37 
#>   150    78    30     8 150.1    91    52 184.2   139    15    55    18 130.1 
#> 20.33 23.88 17.43 18.43 20.33  5.33 10.42 17.77 21.49 22.68 19.34 15.21 16.47 
#>   180   166 128.1 129.2   169  37.1   133   194    96    29   192   8.1   181 
#> 14.82 19.98 20.35 23.41 22.41 12.52 14.65 22.40 14.54 15.45 16.44 18.43 16.46 
#>    68    90  91.1   167   164  13.2  37.2 134.1    97 184.3    49 164.1    40 
#> 20.62 20.94  5.33 15.55 23.60 14.34 12.52 17.81 19.14 17.77 12.19 23.60 18.00 
#> 130.2    76   155     5  18.1    60 134.2  69.1    45 164.2    14 175.1    57 
#> 16.47 19.22 13.08 16.43 15.21 13.15 17.81 23.23 17.42 23.60 12.89 21.91 14.46 
#> 128.2    51   123  57.1 194.1    24   177   145    92   170   5.1   100 125.1 
#> 20.35 18.23 13.00 14.46 22.40 23.89 12.53 10.07 22.92 19.54 16.43 16.07 15.65 
#> 123.1  60.1    26  97.1   154    93   153 130.3  45.1 155.1     6  66.1  61.1 
#> 13.00 13.15 15.77 19.14 12.63 10.33 21.33 16.47 17.42 13.08 15.64 22.13 10.12 
#>   163    75   162    34   152   198    38    94   112   142    53    17   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1 151.1  38.1   102   131   185   120   196  17.2    12    71 151.2    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122   104  12.1   103   172    87    35    62    98   141 122.1    95     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.1 172.1 185.1   200  95.1     2 141.1    84 152.1   116    28   193    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135    44 193.1   119 185.2     1     9   138  98.1   173  95.2    19    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.2   144  17.3   161   174   126 185.3 112.1   3.1   176  38.2    46    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.2  82.1   191   143   156  84.1    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[53]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01975049                0.77899373                0.20981920 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.08850497              0.02198100              0.07497429 
#>   grade_iii, Cure model 
#>              0.70665180 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 187    9.92      1  39        1         0
#> 16     8.71      1  71        0         1
#> 101    9.97      1  10        0         1
#> 26    15.77      1  49        0         1
#> 164   23.60      1  76        0         1
#> 25     6.32      1  34        1         0
#> 18    15.21      1  49        1         0
#> 140   12.68      1  59        1         0
#> 183    9.24      1  67        1         0
#> 145   10.07      1  65        1         0
#> 52    10.42      1  52        0         1
#> 197   21.60      1  69        1         0
#> 140.1 12.68      1  59        1         0
#> 41    18.02      1  40        1         0
#> 117   17.46      1  26        0         1
#> 157   15.10      1  47        0         0
#> 110   17.56      1  65        0         1
#> 192   16.44      1  31        1         0
#> 197.1 21.60      1  69        1         0
#> 99    21.19      1  38        0         1
#> 6     15.64      1  39        0         0
#> 113   22.86      1  34        0         0
#> 168   23.72      1  70        0         0
#> 52.1  10.42      1  52        0         1
#> 190   20.81      1  42        1         0
#> 188   16.16      1  46        0         1
#> 36    21.19      1  48        0         1
#> 180   14.82      1  37        0         0
#> 108   18.29      1  39        0         1
#> 29    15.45      1  68        1         0
#> 92    22.92      1  47        0         1
#> 168.1 23.72      1  70        0         0
#> 159   10.55      1  50        0         1
#> 154   12.63      1  20        1         0
#> 41.1  18.02      1  40        1         0
#> 89    11.44      1  NA        0         0
#> 59    10.16      1  NA        1         0
#> 26.1  15.77      1  49        0         1
#> 56    12.21      1  60        0         0
#> 108.1 18.29      1  39        0         1
#> 99.1  21.19      1  38        0         1
#> 25.1   6.32      1  34        1         0
#> 190.1 20.81      1  42        1         0
#> 105   19.75      1  60        0         0
#> 113.1 22.86      1  34        0         0
#> 123   13.00      1  44        1         0
#> 111   17.45      1  47        0         1
#> 76    19.22      1  54        0         1
#> 52.2  10.42      1  52        0         1
#> 125   15.65      1  67        1         0
#> 149    8.37      1  33        1         0
#> 129   23.41      1  53        1         0
#> 30    17.43      1  78        0         0
#> 4     17.64      1  NA        0         1
#> 136   21.83      1  43        0         1
#> 125.1 15.65      1  67        1         0
#> 23    16.92      1  61        0         0
#> 169   22.41      1  46        0         0
#> 117.1 17.46      1  26        0         1
#> 26.2  15.77      1  49        0         1
#> 49    12.19      1  48        1         0
#> 55    19.34      1  69        0         1
#> 96    14.54      1  33        0         1
#> 88    18.37      1  47        0         0
#> 30.1  17.43      1  78        0         0
#> 39    15.59      1  37        0         1
#> 113.2 22.86      1  34        0         0
#> 158   20.14      1  74        1         0
#> 167   15.55      1  56        1         0
#> 57    14.46      1  45        0         1
#> 107   11.18      1  54        1         0
#> 70     7.38      1  30        1         0
#> 180.1 14.82      1  37        0         0
#> 101.1  9.97      1  10        0         1
#> 79    16.23      1  54        1         0
#> 8     18.43      1  32        0         0
#> 106   16.67      1  49        1         0
#> 51    18.23      1  83        0         1
#> 171   16.57      1  41        0         1
#> 181   16.46      1  45        0         1
#> 179   18.63      1  42        0         0
#> 8.1   18.43      1  32        0         0
#> 133   14.65      1  57        0         0
#> 61    10.12      1  36        0         1
#> 36.1  21.19      1  48        0         1
#> 92.1  22.92      1  47        0         1
#> 86    23.81      1  58        0         1
#> 79.1  16.23      1  54        1         0
#> 140.2 12.68      1  59        1         0
#> 101.2  9.97      1  10        0         1
#> 140.3 12.68      1  59        1         0
#> 180.2 14.82      1  37        0         0
#> 77     7.27      1  67        0         1
#> 10    10.53      1  34        0         0
#> 130   16.47      1  53        0         1
#> 91     5.33      1  61        0         1
#> 89.1  11.44      1  NA        0         0
#> 180.3 14.82      1  37        0         0
#> 59.1  10.16      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 79.2  16.23      1  54        1         0
#> 55.1  19.34      1  69        0         1
#> 56.1  12.21      1  60        0         0
#> 61.1  10.12      1  36        0         1
#> 36.2  21.19      1  48        0         1
#> 139   21.49      1  63        1         0
#> 107.1 11.18      1  54        1         0
#> 8.2   18.43      1  32        0         0
#> 199   19.81      1  NA        0         1
#> 99.2  21.19      1  38        0         1
#> 52.3  10.42      1  52        0         1
#> 194   22.40      1  38        0         1
#> 191   24.00      0  60        0         1
#> 109   24.00      0  48        0         0
#> 54    24.00      0  53        1         0
#> 137   24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 73    24.00      0  NA        0         1
#> 48    24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 34    24.00      0  36        0         0
#> 46    24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 182   24.00      0  35        0         0
#> 144   24.00      0  28        0         1
#> 80    24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 193   24.00      0  45        0         1
#> 1     24.00      0  23        1         0
#> 135   24.00      0  58        1         0
#> 82    24.00      0  34        0         0
#> 138   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 3     24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 198   24.00      0  66        0         1
#> 53    24.00      0  32        0         1
#> 31    24.00      0  36        0         1
#> 64    24.00      0  43        0         0
#> 151   24.00      0  42        0         0
#> 22.1  24.00      0  52        1         0
#> 138.1 24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 176   24.00      0  43        0         1
#> 31.1  24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 104   24.00      0  50        1         0
#> 22.2  24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 144.1 24.00      0  28        0         1
#> 19    24.00      0  57        0         1
#> 146   24.00      0  63        1         0
#> 11    24.00      0  42        0         1
#> 54.1  24.00      0  53        1         0
#> 185   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 87    24.00      0  27        0         0
#> 173   24.00      0  19        0         1
#> 152   24.00      0  36        0         1
#> 53.1  24.00      0  32        0         1
#> 173.1 24.00      0  19        0         1
#> 72    24.00      0  40        0         1
#> 163   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 165   24.00      0  47        0         0
#> 120   24.00      0  68        0         1
#> 148   24.00      0  61        1         0
#> 102   24.00      0  49        0         0
#> 132.1 24.00      0  55        0         0
#> 1.1   24.00      0  23        1         0
#> 141.1 24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 186.1 24.00      0  45        1         0
#> 141.2 24.00      0  44        1         0
#> 35.1  24.00      0  51        0         0
#> 3.1   24.00      0  31        1         0
#> 182.1 24.00      0  35        0         0
#> 144.2 24.00      0  28        0         1
#> 163.1 24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 74    24.00      0  43        0         1
#> 53.2  24.00      0  32        0         1
#> 104.1 24.00      0  50        1         0
#> 161.1 24.00      0  45        0         0
#> 118   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 185.1 24.00      0  44        1         0
#> 19.1  24.00      0  57        0         1
#> 31.2  24.00      0  36        0         1
#> 95    24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 118.1 24.00      0  44        1         0
#> 138.2 24.00      0  44        1         0
#> 73.1  24.00      0  NA        0         1
#> 82.1  24.00      0  34        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.09          NA        NA      NA
#> 2 age, Cure model           0.0220        NA        NA      NA
#> 3 grade_ii, Cure model      0.0750        NA        NA      NA
#> 4 grade_iii, Cure model     0.707         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0198        NA        NA      NA
#> 2 grade_ii, Survival model    0.779         NA        NA      NA
#> 3 grade_iii, Survival model   0.210         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.08850           0.02198           0.07497           0.70665  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 255.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.08850497       0.02198100       0.07497429       0.70665180 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01975049       0.77899373       0.20981920 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 8.455822e-01 8.911919e-01 8.006121e-01 3.109118e-01 7.839528e-04
#>   [6] 9.533639e-01 4.102035e-01 5.343631e-01 8.758252e-01 7.853216e-01
#>  [11] 6.972489e-01 2.112271e-02 5.343631e-01 1.480445e-01 1.713188e-01
#>  [16] 4.219382e-01 1.632678e-01 2.614088e-01 2.112271e-02 3.191589e-02
#>  [21] 3.642617e-01 6.149763e-03 8.373778e-05 6.972489e-01 5.540111e-02
#>  [26] 3.006221e-01 3.191589e-02 4.338736e-01 1.256543e-01 3.985263e-01
#>  [31] 3.092383e-03 8.373778e-05 6.688054e-01 5.866066e-01 1.480445e-01
#>  [36] 3.109118e-01 5.999835e-01 1.256543e-01 3.191589e-02 9.533639e-01
#>  [41] 5.540111e-02 6.984985e-02 6.149763e-03 5.212227e-01 1.874306e-01
#>  [46] 8.653366e-02 6.972489e-01 3.423774e-01 9.067453e-01 1.843992e-03
#>  [51] 1.958573e-01 1.785751e-02 3.423774e-01 2.135167e-01 1.208281e-02
#>  [56] 1.713188e-01 3.109118e-01 6.272746e-01 7.518264e-02 4.951637e-01
#>  [61] 1.185062e-01 1.958573e-01 3.755584e-01 6.149763e-03 6.478553e-02
#>  [66] 3.869948e-01 5.081109e-01 6.411193e-01 9.222627e-01 4.338736e-01
#>  [71] 8.006121e-01 2.712850e-01 9.899770e-02 2.228119e-01 1.402362e-01
#>  [76] 2.321743e-01 2.514645e-01 9.264753e-02 9.899770e-02 4.823364e-01
#>  [81] 7.552682e-01 3.191589e-02 3.092383e-03 6.544790e-06 2.712850e-01
#>  [86] 5.343631e-01 8.006121e-01 5.343631e-01 4.338736e-01 9.377267e-01
#>  [91] 6.829547e-01 2.417103e-01 9.842679e-01 4.338736e-01 8.455822e-01
#>  [96] 2.712850e-01 7.518264e-02 5.999835e-01 7.552682e-01 3.191589e-02
#> [101] 2.802816e-02 6.411193e-01 9.899770e-02 3.191589e-02 6.972489e-01
#> [106] 1.485262e-02 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   187    16   101    26   164    25    18   140   183   145    52   197 140.1 
#>  9.92  8.71  9.97 15.77 23.60  6.32 15.21 12.68  9.24 10.07 10.42 21.60 12.68 
#>    41   117   157   110   192 197.1    99     6   113   168  52.1   190   188 
#> 18.02 17.46 15.10 17.56 16.44 21.60 21.19 15.64 22.86 23.72 10.42 20.81 16.16 
#>    36   180   108    29    92 168.1   159   154  41.1  26.1    56 108.1  99.1 
#> 21.19 14.82 18.29 15.45 22.92 23.72 10.55 12.63 18.02 15.77 12.21 18.29 21.19 
#>  25.1 190.1   105 113.1   123   111    76  52.2   125   149   129    30   136 
#>  6.32 20.81 19.75 22.86 13.00 17.45 19.22 10.42 15.65  8.37 23.41 17.43 21.83 
#> 125.1    23   169 117.1  26.2    49    55    96    88  30.1    39 113.2   158 
#> 15.65 16.92 22.41 17.46 15.77 12.19 19.34 14.54 18.37 17.43 15.59 22.86 20.14 
#>   167    57   107    70 180.1 101.1    79     8   106    51   171   181   179 
#> 15.55 14.46 11.18  7.38 14.82  9.97 16.23 18.43 16.67 18.23 16.57 16.46 18.63 
#>   8.1   133    61  36.1  92.1    86  79.1 140.2 101.2 140.3 180.2    77    10 
#> 18.43 14.65 10.12 21.19 22.92 23.81 16.23 12.68  9.97 12.68 14.82  7.27 10.53 
#>   130    91 180.3 187.1  79.2  55.1  56.1  61.1  36.2   139 107.1   8.2  99.2 
#> 16.47  5.33 14.82  9.92 16.23 19.34 12.21 10.12 21.19 21.49 11.18 18.43 21.19 
#>  52.3   194   191   109    54   137    84    48 137.1   141    22    34    46 
#> 10.42 22.40 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161   182   144    80     7   193     1   135    82   138    83     3   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198    53    31    64   151  22.1 138.1    28   176  31.1   186    20   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.2    71 144.1    19   146    11  54.1   185   142    35   119    87   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152  53.1 173.1    72   163   132   165   120   148   102 132.1   1.1 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1 186.1 141.2  35.1   3.1 182.1 144.2 163.1    67    74  53.2 104.1 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118   131 185.1  19.1  31.2    95   147 118.1 138.2  82.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[54]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01761593                0.51042932                0.72572498 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.93472795              0.01064269              0.23593220 
#>   grade_iii, Cure model 
#>              1.70739520 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 85    16.44      1  36        0         0
#> 40    18.00      1  28        1         0
#> 114   13.68      1  NA        0         0
#> 39    15.59      1  37        0         1
#> 179   18.63      1  42        0         0
#> 194   22.40      1  38        0         1
#> 57    14.46      1  45        0         1
#> 155   13.08      1  26        0         0
#> 123   13.00      1  44        1         0
#> 39.1  15.59      1  37        0         1
#> 123.1 13.00      1  44        1         0
#> 8     18.43      1  32        0         0
#> 197   21.60      1  69        1         0
#> 14    12.89      1  21        0         0
#> 60    13.15      1  38        1         0
#> 181   16.46      1  45        0         1
#> 61    10.12      1  36        0         1
#> 91     5.33      1  61        0         1
#> 184   17.77      1  38        0         0
#> 197.1 21.60      1  69        1         0
#> 127    3.53      1  62        0         1
#> 42    12.43      1  49        0         1
#> 188   16.16      1  46        0         1
#> 164   23.60      1  76        0         1
#> 96    14.54      1  33        0         1
#> 175   21.91      1  43        0         0
#> 164.1 23.60      1  76        0         1
#> 42.1  12.43      1  49        0         1
#> 42.2  12.43      1  49        0         1
#> 13    14.34      1  54        0         1
#> 110   17.56      1  65        0         1
#> 42.3  12.43      1  49        0         1
#> 111   17.45      1  47        0         1
#> 129   23.41      1  53        1         0
#> 52    10.42      1  52        0         1
#> 93    10.33      1  52        0         1
#> 89    11.44      1  NA        0         0
#> 108   18.29      1  39        0         1
#> 25     6.32      1  34        1         0
#> 125   15.65      1  67        1         0
#> 93.1  10.33      1  52        0         1
#> 16     8.71      1  71        0         1
#> 93.2  10.33      1  52        0         1
#> 169   22.41      1  46        0         0
#> 93.3  10.33      1  52        0         1
#> 164.2 23.60      1  76        0         1
#> 14.1  12.89      1  21        0         0
#> 30    17.43      1  78        0         0
#> 153   21.33      1  55        1         0
#> 61.1  10.12      1  36        0         1
#> 59    10.16      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 149    8.37      1  33        1         0
#> 127.1  3.53      1  62        0         1
#> 177   12.53      1  75        0         0
#> 168   23.72      1  70        0         0
#> 55    19.34      1  69        0         1
#> 66    22.13      1  53        0         0
#> 24    23.89      1  38        0         0
#> 170   19.54      1  43        0         1
#> 159   10.55      1  50        0         1
#> 124    9.73      1  NA        1         0
#> 159.1 10.55      1  50        0         1
#> 39.2  15.59      1  37        0         1
#> 42.4  12.43      1  49        0         1
#> 32    20.90      1  37        1         0
#> 111.1 17.45      1  47        0         1
#> 101    9.97      1  10        0         1
#> 107.1 11.18      1  54        1         0
#> 105   19.75      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 63    22.77      1  31        1         0
#> 150   20.33      1  48        0         0
#> 23    16.92      1  61        0         0
#> 111.2 17.45      1  47        0         1
#> 145   10.07      1  65        1         0
#> 70     7.38      1  30        1         0
#> 6     15.64      1  39        0         0
#> 134   17.81      1  47        1         0
#> 23.1  16.92      1  61        0         0
#> 157   15.10      1  47        0         0
#> 189   10.51      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 153.1 21.33      1  55        1         0
#> 111.3 17.45      1  47        0         1
#> 99    21.19      1  38        0         1
#> 168.1 23.72      1  70        0         0
#> 154   12.63      1  20        1         0
#> 59.1  10.16      1  NA        1         0
#> 32.1  20.90      1  37        1         0
#> 129.1 23.41      1  53        1         0
#> 45    17.42      1  54        0         1
#> 36    21.19      1  48        0         1
#> 190   20.81      1  42        1         0
#> 97    19.14      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 42.5  12.43      1  49        0         1
#> 183    9.24      1  67        1         0
#> 171.1 16.57      1  41        0         1
#> 43    12.10      1  61        0         1
#> 194.1 22.40      1  38        0         1
#> 189.1 10.51      1  NA        1         0
#> 77.1   7.27      1  67        0         1
#> 49    12.19      1  48        1         0
#> 60.1  13.15      1  38        1         0
#> 41    18.02      1  40        1         0
#> 136   21.83      1  43        0         1
#> 70.1   7.38      1  30        1         0
#> 18    15.21      1  49        1         0
#> 70.2   7.38      1  30        1         0
#> 138   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 141   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 165   24.00      0  47        0         0
#> 156   24.00      0  50        1         0
#> 116   24.00      0  58        0         1
#> 174   24.00      0  49        1         0
#> 193   24.00      0  45        0         1
#> 28    24.00      0  67        1         0
#> 103   24.00      0  56        1         0
#> 3     24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 119   24.00      0  17        0         0
#> 54    24.00      0  53        1         0
#> 82    24.00      0  34        0         0
#> 80    24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 75    24.00      0  21        1         0
#> 182   24.00      0  35        0         0
#> 87    24.00      0  27        0         0
#> 20.1  24.00      0  46        1         0
#> 28.1  24.00      0  67        1         0
#> 122   24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 7     24.00      0  37        1         0
#> 83    24.00      0   6        0         0
#> 196   24.00      0  19        0         0
#> 121   24.00      0  57        1         0
#> 162   24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 84    24.00      0  39        0         1
#> 12    24.00      0  63        0         0
#> 54.1  24.00      0  53        1         0
#> 22    24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 112   24.00      0  61        0         0
#> 141.1 24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 72.1  24.00      0  40        0         1
#> 102   24.00      0  49        0         0
#> 54.2  24.00      0  53        1         0
#> 186   24.00      0  45        1         0
#> 75.1  24.00      0  21        1         0
#> 12.1  24.00      0  63        0         0
#> 163   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 48    24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 191.1 24.00      0  60        0         1
#> 160   24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 72.2  24.00      0  40        0         1
#> 7.1   24.00      0  37        1         0
#> 156.1 24.00      0  50        1         0
#> 162.1 24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 172.1 24.00      0  41        0         0
#> 122.1 24.00      0  66        0         0
#> 31.1  24.00      0  36        0         1
#> 28.2  24.00      0  67        1         0
#> 162.2 24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 186.1 24.00      0  45        1         0
#> 2.1   24.00      0   9        0         0
#> 148   24.00      0  61        1         0
#> 182.1 24.00      0  35        0         0
#> 132   24.00      0  55        0         0
#> 38.1  24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 115   24.00      0  NA        1         0
#> 87.1  24.00      0  27        0         0
#> 151.1 24.00      0  42        0         0
#> 200   24.00      0  64        0         0
#> 115.1 24.00      0  NA        1         0
#> 31.2  24.00      0  36        0         1
#> 135   24.00      0  58        1         0
#> 9     24.00      0  31        1         0
#> 191.2 24.00      0  60        0         1
#> 115.2 24.00      0  NA        1         0
#> 115.3 24.00      0  NA        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.935         NA        NA      NA
#> 2 age, Cure model           0.0106        NA        NA      NA
#> 3 grade_ii, Cure model      0.236         NA        NA      NA
#> 4 grade_iii, Cure model     1.71          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0176        NA        NA      NA
#> 2 grade_ii, Survival model    0.510         NA        NA      NA
#> 3 grade_iii, Survival model   0.726         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.93473           0.01064           0.23593           1.70740  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.1 
#> Residual Deviance: 231.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.93472795       0.01064269       0.23593220       1.70739520 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01761593       0.51042932       0.72572498 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3597962997 0.2111169428 0.4035844446 0.1740505979 0.0350565664
#>   [6] 0.4695932943 0.5147229601 0.5262109299 0.4035844446 0.5262109299
#>  [11] 0.1831573772 0.0648994546 0.5491667264 0.4921861752 0.3491340344
#>  [16] 0.7990695282 0.9616348150 0.2299415591 0.0648994546 0.9744108614
#>  [21] 0.5960131850 0.3706090586 0.0048238348 0.4583411595 0.0518052967
#>  [26] 0.0048238348 0.5960131850 0.5960131850 0.4808629389 0.2396026762
#>  [31] 0.5960131850 0.2493991186 0.0145354007 0.7378706204 0.7502435005
#>  [36] 0.1924635989 0.9489085636 0.3814474921 0.7502435005 0.8612467186
#>  [41] 0.7502435005 0.0291693298 0.7502435005 0.0048238348 0.5491667264
#>  [46] 0.2868847597 0.0786987562 0.7990695282 0.6890550798 0.8738195689
#>  [51] 0.9744108614 0.5841309007 0.0007762491 0.1564821580 0.0456808941
#>  [56] 0.0001101010 0.1479615664 0.7134028386 0.7134028386 0.4035844446
#>  [61] 0.5960131850 0.1082783678 0.2493991186 0.8363392821 0.6890550798
#>  [66] 0.1394564169 0.9236552386 0.0238767124 0.1312768168 0.3072137592
#>  [71] 0.2493991186 0.8237938271 0.8864048157 0.3924384017 0.2204745733
#>  [76] 0.3072137592 0.4470459645 0.0786987562 0.2493991186 0.0934539815
#>  [81] 0.0007762491 0.5724232302 0.1082783678 0.0145354007 0.2970141287
#>  [86] 0.0934539815 0.1233781457 0.1651863534 0.3281759961 0.5960131850
#>  [91] 0.8487483940 0.3281759961 0.6769259209 0.0350565664 0.9236552386
#>  [96] 0.6648604335 0.4921861752 0.2017521874 0.0583405164 0.8864048157
#> [101] 0.4359092110 0.8864048157 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000
#> 
#> $Time
#>    85    40    39   179   194    57   155   123  39.1 123.1     8   197    14 
#> 16.44 18.00 15.59 18.63 22.40 14.46 13.08 13.00 15.59 13.00 18.43 21.60 12.89 
#>    60   181    61    91   184 197.1   127    42   188   164    96   175 164.1 
#> 13.15 16.46 10.12  5.33 17.77 21.60  3.53 12.43 16.16 23.60 14.54 21.91 23.60 
#>  42.1  42.2    13   110  42.3   111   129    52    93   108    25   125  93.1 
#> 12.43 12.43 14.34 17.56 12.43 17.45 23.41 10.42 10.33 18.29  6.32 15.65 10.33 
#>    16  93.2   169  93.3 164.2  14.1    30   153  61.1   107   149 127.1   177 
#>  8.71 10.33 22.41 10.33 23.60 12.89 17.43 21.33 10.12 11.18  8.37  3.53 12.53 
#>   168    55    66    24   170   159 159.1  39.2  42.4    32 111.1   101 107.1 
#> 23.72 19.34 22.13 23.89 19.54 10.55 10.55 15.59 12.43 20.90 17.45  9.97 11.18 
#>   105    77    63   150    23 111.2   145    70     6   134  23.1   157 153.1 
#> 19.75  7.27 22.77 20.33 16.92 17.45 10.07  7.38 15.64 17.81 16.92 15.10 21.33 
#> 111.3    99 168.1   154  32.1 129.1    45    36   190    97   171  42.5   183 
#> 17.45 21.19 23.72 12.63 20.90 23.41 17.42 21.19 20.81 19.14 16.57 12.43  9.24 
#> 171.1    43 194.1  77.1    49  60.1    41   136  70.1    18  70.2   138    38 
#> 16.57 12.10 22.40  7.27 12.19 13.15 18.02 21.83  7.38 15.21  7.38 24.00 24.00 
#>   118    20   141   142   137    72   165   156   116   174   193    28   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3   198   119    54    82    80   185   191    75   182    87  20.1  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    34     7    83   196   121   162    67    84    12  54.1    22    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112 141.1    31  72.1   102  54.2   186  75.1  12.1   163     2   172    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65 191.1   160   131  72.2   7.1 156.1 162.1   151 172.1 122.1  31.1  28.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.2 163.1   146 186.1   2.1   148 182.1   132  38.1   104  87.1 151.1   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.2   135     9 191.2 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[55]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004314454               0.920662002               0.436228832 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.95404430              0.01413929              0.24047235 
#>   grade_iii, Cure model 
#>              1.06603712 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 96    14.54      1  33        0         1
#> 39    15.59      1  37        0         1
#> 45    17.42      1  54        0         1
#> 108   18.29      1  39        0         1
#> 50    10.02      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 8     18.43      1  32        0         0
#> 36    21.19      1  48        0         1
#> 26    15.77      1  49        0         1
#> 89    11.44      1  NA        0         0
#> 183    9.24      1  67        1         0
#> 105   19.75      1  60        0         0
#> 61    10.12      1  36        0         1
#> 92    22.92      1  47        0         1
#> 69    23.23      1  25        0         1
#> 194   22.40      1  38        0         1
#> 113   22.86      1  34        0         0
#> 78    23.88      1  43        0         0
#> 99    21.19      1  38        0         1
#> 179   18.63      1  42        0         0
#> 124    9.73      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 187    9.92      1  39        1         0
#> 181   16.46      1  45        0         1
#> 13.1  14.34      1  54        0         1
#> 92.1  22.92      1  47        0         1
#> 194.1 22.40      1  38        0         1
#> 197   21.60      1  69        1         0
#> 105.1 19.75      1  60        0         0
#> 40    18.00      1  28        1         0
#> 164   23.60      1  76        0         1
#> 127    3.53      1  62        0         1
#> 110   17.56      1  65        0         1
#> 130   16.47      1  53        0         1
#> 70     7.38      1  30        1         0
#> 188   16.16      1  46        0         1
#> 93    10.33      1  52        0         1
#> 159   10.55      1  50        0         1
#> 5     16.43      1  51        0         1
#> 155   13.08      1  26        0         0
#> 92.2  22.92      1  47        0         1
#> 175   21.91      1  43        0         0
#> 14    12.89      1  21        0         0
#> 134   17.81      1  47        1         0
#> 190   20.81      1  42        1         0
#> 149    8.37      1  33        1         0
#> 133   14.65      1  57        0         0
#> 168   23.72      1  70        0         0
#> 113.1 22.86      1  34        0         0
#> 52    10.42      1  52        0         1
#> 89.1  11.44      1  NA        0         0
#> 133.1 14.65      1  57        0         0
#> 40.1  18.00      1  28        1         0
#> 97    19.14      1  65        0         1
#> 124.1  9.73      1  NA        1         0
#> 61.1  10.12      1  36        0         1
#> 16     8.71      1  71        0         1
#> 192   16.44      1  31        1         0
#> 111   17.45      1  47        0         1
#> 140   12.68      1  59        1         0
#> 133.2 14.65      1  57        0         0
#> 25     6.32      1  34        1         0
#> 55    19.34      1  69        0         1
#> 60    13.15      1  38        1         0
#> 168.1 23.72      1  70        0         0
#> 125   15.65      1  67        1         0
#> 155.1 13.08      1  26        0         0
#> 29    15.45      1  68        1         0
#> 111.1 17.45      1  47        0         1
#> 177   12.53      1  75        0         0
#> 168.2 23.72      1  70        0         0
#> 136   21.83      1  43        0         1
#> 171   16.57      1  41        0         1
#> 49    12.19      1  48        1         0
#> 10    10.53      1  34        0         0
#> 63    22.77      1  31        1         0
#> 45.1  17.42      1  54        0         1
#> 128   20.35      1  35        0         1
#> 195   11.76      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 13.2  14.34      1  54        0         1
#> 136.1 21.83      1  43        0         1
#> 110.1 17.56      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 184   17.77      1  38        0         0
#> 110.2 17.56      1  65        0         1
#> 68    20.62      1  44        0         0
#> 199.1 19.81      1  NA        0         1
#> 5.1   16.43      1  51        0         1
#> 181.1 16.46      1  45        0         1
#> 136.2 21.83      1  43        0         1
#> 105.2 19.75      1  60        0         0
#> 79    16.23      1  54        1         0
#> 171.1 16.57      1  41        0         1
#> 100   16.07      1  60        0         0
#> 99.1  21.19      1  38        0         1
#> 166   19.98      1  48        0         0
#> 175.1 21.91      1  43        0         0
#> 187.1  9.92      1  39        1         0
#> 153   21.33      1  55        1         0
#> 117   17.46      1  26        0         1
#> 49.1  12.19      1  48        1         0
#> 105.3 19.75      1  60        0         0
#> 26.1  15.77      1  49        0         1
#> 56    12.21      1  60        0         0
#> 183.1  9.24      1  67        1         0
#> 139   21.49      1  63        1         0
#> 188.1 16.16      1  46        0         1
#> 130.1 16.47      1  53        0         1
#> 8.1   18.43      1  32        0         0
#> 145   10.07      1  65        1         0
#> 79.1  16.23      1  54        1         0
#> 172   24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 17    24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 95    24.00      0  68        0         1
#> 44    24.00      0  56        0         0
#> 121   24.00      0  57        1         0
#> 44.1  24.00      0  56        0         0
#> 196   24.00      0  19        0         0
#> 20    24.00      0  46        1         0
#> 53    24.00      0  32        0         1
#> 80    24.00      0  41        0         0
#> 31    24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 200   24.00      0  64        0         0
#> 163   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 137   24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 121.1 24.00      0  57        1         0
#> 44.2  24.00      0  56        0         0
#> 162   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 2     24.00      0   9        0         0
#> 182   24.00      0  35        0         0
#> 142   24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 156   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 3     24.00      0  31        1         0
#> 162.1 24.00      0  51        0         0
#> 142.1 24.00      0  53        0         0
#> 17.1  24.00      0  38        0         1
#> 47    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 31.1  24.00      0  36        0         1
#> 62    24.00      0  71        0         0
#> 191   24.00      0  60        0         1
#> 98    24.00      0  34        1         0
#> 156.1 24.00      0  50        1         0
#> 112   24.00      0  61        0         0
#> 54    24.00      0  53        1         0
#> 17.2  24.00      0  38        0         1
#> 87    24.00      0  27        0         0
#> 146   24.00      0  63        1         0
#> 126.1 24.00      0  48        0         0
#> 11    24.00      0  42        0         1
#> 35    24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 122   24.00      0  66        0         0
#> 62.1  24.00      0  71        0         0
#> 144   24.00      0  28        0         1
#> 131   24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 144.1 24.00      0  28        0         1
#> 3.1   24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 27    24.00      0  63        1         0
#> 84    24.00      0  39        0         1
#> 2.1   24.00      0   9        0         0
#> 146.1 24.00      0  63        1         0
#> 3.2   24.00      0  31        1         0
#> 156.2 24.00      0  50        1         0
#> 121.2 24.00      0  57        1         0
#> 186.1 24.00      0  45        1         0
#> 131.1 24.00      0  66        0         0
#> 200.1 24.00      0  64        0         0
#> 87.1  24.00      0  27        0         0
#> 182.1 24.00      0  35        0         0
#> 53.1  24.00      0  32        0         1
#> 152.1 24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 1     24.00      0  23        1         0
#> 72.1  24.00      0  40        0         1
#> 191.1 24.00      0  60        0         1
#> 53.2  24.00      0  32        0         1
#> 163.1 24.00      0  66        0         0
#> 27.1  24.00      0  63        1         0
#> 95.1  24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 80.1  24.00      0  41        0         0
#> 9     24.00      0  31        1         0
#> 144.2 24.00      0  28        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.954         NA        NA      NA
#> 2 age, Cure model           0.0141        NA        NA      NA
#> 3 grade_ii, Cure model      0.240         NA        NA      NA
#> 4 grade_iii, Cure model     1.07          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00431        NA        NA      NA
#> 2 grade_ii, Survival model   0.921          NA        NA      NA
#> 3 grade_iii, Survival model  0.436          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.95404           0.01414           0.24047           1.06604  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 251.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.95404430       0.01413929       0.24047235       1.06603712 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004314454      0.920662002      0.436228832 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.759848176 0.719119907 0.555354181 0.452740657 0.926096383 0.432664273
#>   [7] 0.293885000 0.694269599 0.948749572 0.363377443 0.902962307 0.100129590
#>  [13] 0.083625011 0.178348305 0.138053739 0.007376139 0.293885000 0.422568065
#>  [19] 0.768023170 0.933760059 0.608972581 0.768023170 0.100129590 0.178348305
#>  [25] 0.260785028 0.363377443 0.462823206 0.065768144 0.992791355 0.500540224
#>  [31] 0.591237514 0.978292500 0.669228751 0.895165732 0.871704794 0.635279955
#>  [37] 0.800137560 0.100129590 0.202269647 0.816133045 0.481768585 0.323698544
#>  [43] 0.970945980 0.735497587 0.024584014 0.138053739 0.887353098 0.735497587
#>  [49] 0.462823206 0.412511688 0.902962307 0.963533407 0.626567348 0.537196681
#>  [55] 0.824177225 0.735497587 0.985573077 0.402413826 0.792116549 0.024584014
#>  [61] 0.710860736 0.800137560 0.727348965 0.537196681 0.832147763 0.024584014
#>  [67] 0.226682741 0.573378925 0.856101757 0.879524198 0.165396952 0.555354181
#>  [73] 0.343580938 0.840139463 0.768023170 0.226682741 0.500540224 0.491140841
#>  [79] 0.500540224 0.333614122 0.635279955 0.608972581 0.226682741 0.363377443
#>  [85] 0.652472683 0.573378925 0.685872989 0.293885000 0.353453258 0.202269647
#>  [91] 0.933760059 0.283263083 0.527957096 0.856101757 0.363377443 0.694269599
#>  [97] 0.848112045 0.948749572 0.272235810 0.669228751 0.591237514 0.432664273
#> [103] 0.918402046 0.652472683 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    96    39    45   108   101     8    36    26   183   105    61    92    69 
#> 14.54 15.59 17.42 18.29  9.97 18.43 21.19 15.77  9.24 19.75 10.12 22.92 23.23 
#>   194   113    78    99   179    13   187   181  13.1  92.1 194.1   197 105.1 
#> 22.40 22.86 23.88 21.19 18.63 14.34  9.92 16.46 14.34 22.92 22.40 21.60 19.75 
#>    40   164   127   110   130    70   188    93   159     5   155  92.2   175 
#> 18.00 23.60  3.53 17.56 16.47  7.38 16.16 10.33 10.55 16.43 13.08 22.92 21.91 
#>    14   134   190   149   133   168 113.1    52 133.1  40.1    97  61.1    16 
#> 12.89 17.81 20.81  8.37 14.65 23.72 22.86 10.42 14.65 18.00 19.14 10.12  8.71 
#>   192   111   140 133.2    25    55    60 168.1   125 155.1    29 111.1   177 
#> 16.44 17.45 12.68 14.65  6.32 19.34 13.15 23.72 15.65 13.08 15.45 17.45 12.53 
#> 168.2   136   171    49    10    63  45.1   128    42  13.2 136.1 110.1   184 
#> 23.72 21.83 16.57 12.19 10.53 22.77 17.42 20.35 12.43 14.34 21.83 17.56 17.77 
#> 110.2    68   5.1 181.1 136.2 105.2    79 171.1   100  99.1   166 175.1 187.1 
#> 17.56 20.62 16.43 16.46 21.83 19.75 16.23 16.57 16.07 21.19 19.98 21.91  9.92 
#>   153   117  49.1 105.3  26.1    56 183.1   139 188.1 130.1   8.1   145  79.1 
#> 21.33 17.46 12.19 19.75 15.77 12.21  9.24 21.49 16.16 16.47 18.43 10.07 16.23 
#>   172    72    17   120    64    95    44   121  44.1   196    20    53    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31    94   200   163   186   137 137.1 121.1  44.2   162   126     2   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142   102   156   143   152    82     3 162.1 142.1  17.1    47    33  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   191    98 156.1   112    54  17.2    87   146 126.1    11    35   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122  62.1   144   131    38    67 144.1   3.1    27    84   2.1 146.1   3.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.2 121.2 186.1 131.1 200.1  87.1 182.1  53.1 152.1    83     1  72.1 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.2 163.1  27.1  95.1   104    65  80.1     9 144.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[56]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008803032               0.394562453               0.615884554 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.98375107              0.01568841              0.31096090 
#>   grade_iii, Cure model 
#>              0.90044440 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 177   12.53      1  75        0         0
#> 45    17.42      1  54        0         1
#> 91     5.33      1  61        0         1
#> 91.1   5.33      1  61        0         1
#> 60    13.15      1  38        1         0
#> 192   16.44      1  31        1         0
#> 150   20.33      1  48        0         0
#> 10    10.53      1  34        0         0
#> 106   16.67      1  49        1         0
#> 110   17.56      1  65        0         1
#> 106.1 16.67      1  49        1         0
#> 40    18.00      1  28        1         0
#> 134   17.81      1  47        1         0
#> 14    12.89      1  21        0         0
#> 36    21.19      1  48        0         1
#> 29    15.45      1  68        1         0
#> 32    20.90      1  37        1         0
#> 139   21.49      1  63        1         0
#> 184   17.77      1  38        0         0
#> 153   21.33      1  55        1         0
#> 175   21.91      1  43        0         0
#> 140   12.68      1  59        1         0
#> 168   23.72      1  70        0         0
#> 189   10.51      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 197   21.60      1  69        1         0
#> 184.1 17.77      1  38        0         0
#> 123   13.00      1  44        1         0
#> 157   15.10      1  47        0         0
#> 164   23.60      1  76        0         1
#> 5     16.43      1  51        0         1
#> 168.1 23.72      1  70        0         0
#> 169   22.41      1  46        0         0
#> 179   18.63      1  42        0         0
#> 43    12.10      1  61        0         1
#> 105   19.75      1  60        0         0
#> 78    23.88      1  43        0         0
#> 150.1 20.33      1  48        0         0
#> 90    20.94      1  50        0         1
#> 164.1 23.60      1  76        0         1
#> 113   22.86      1  34        0         0
#> 129   23.41      1  53        1         0
#> 96    14.54      1  33        0         1
#> 68    20.62      1  44        0         0
#> 136   21.83      1  43        0         1
#> 181   16.46      1  45        0         1
#> 36.1  21.19      1  48        0         1
#> 199   19.81      1  NA        0         1
#> 199.1 19.81      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 40.1  18.00      1  28        1         0
#> 30    17.43      1  78        0         0
#> 79    16.23      1  54        1         0
#> 77     7.27      1  67        0         1
#> 179.1 18.63      1  42        0         0
#> 42.1  12.43      1  49        0         1
#> 189.1 10.51      1  NA        1         0
#> 175.1 21.91      1  43        0         0
#> 4     17.64      1  NA        0         1
#> 59    10.16      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 4.1   17.64      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 170   19.54      1  43        0         1
#> 77.1   7.27      1  67        0         1
#> 117   17.46      1  26        0         1
#> 180   14.82      1  37        0         0
#> 16     8.71      1  71        0         1
#> 13    14.34      1  54        0         1
#> 10.1  10.53      1  34        0         0
#> 123.1 13.00      1  44        1         0
#> 10.2  10.53      1  34        0         0
#> 51    18.23      1  83        0         1
#> 25     6.32      1  34        1         0
#> 63    22.77      1  31        1         0
#> 37    12.52      1  57        1         0
#> 181.1 16.46      1  45        0         1
#> 13.1  14.34      1  54        0         1
#> 189.2 10.51      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 41    18.02      1  40        1         0
#> 194   22.40      1  38        0         1
#> 169.1 22.41      1  46        0         0
#> 105.1 19.75      1  60        0         0
#> 32.1  20.90      1  37        1         0
#> 150.2 20.33      1  48        0         0
#> 110.1 17.56      1  65        0         1
#> 199.2 19.81      1  NA        0         1
#> 190   20.81      1  42        1         0
#> 127    3.53      1  62        0         1
#> 110.2 17.56      1  65        0         1
#> 181.2 16.46      1  45        0         1
#> 133   14.65      1  57        0         0
#> 197.1 21.60      1  69        1         0
#> 106.2 16.67      1  49        1         0
#> 150.3 20.33      1  48        0         0
#> 14.2  12.89      1  21        0         0
#> 37.1  12.52      1  57        1         0
#> 136.1 21.83      1  43        0         1
#> 76    19.22      1  54        0         1
#> 158   20.14      1  74        1         0
#> 127.1  3.53      1  62        0         1
#> 127.2  3.53      1  62        0         1
#> 189.3 10.51      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 93    10.33      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 16.1   8.71      1  71        0         1
#> 97    19.14      1  65        0         1
#> 189.4 10.51      1  NA        1         0
#> 130.1 16.47      1  53        0         1
#> 126   24.00      0  48        0         0
#> 3     24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 152   24.00      0  36        0         1
#> 131   24.00      0  66        0         0
#> 152.1 24.00      0  36        0         1
#> 47    24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 102   24.00      0  49        0         0
#> 120   24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 31    24.00      0  36        0         1
#> 64    24.00      0  43        0         0
#> 135   24.00      0  58        1         0
#> 33    24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 17    24.00      0  38        0         1
#> 143.1 24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 17.1  24.00      0  38        0         1
#> 20    24.00      0  46        1         0
#> 174   24.00      0  49        1         0
#> 31.1  24.00      0  36        0         1
#> 126.1 24.00      0  48        0         0
#> 2     24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 33.1  24.00      0  53        0         0
#> 82.1  24.00      0  34        0         0
#> 20.1  24.00      0  46        1         0
#> 33.2  24.00      0  53        0         0
#> 48    24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 12    24.00      0  63        0         0
#> 109   24.00      0  48        0         0
#> 161   24.00      0  45        0         0
#> 54    24.00      0  53        1         0
#> 47.1  24.00      0  38        0         1
#> 94    24.00      0  51        0         1
#> 104   24.00      0  50        1         0
#> 126.2 24.00      0  48        0         0
#> 151.1 24.00      0  42        0         0
#> 193   24.00      0  45        0         1
#> 80    24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 82.2  24.00      0  34        0         0
#> 186   24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 2.1   24.00      0   9        0         0
#> 44    24.00      0  56        0         0
#> 131.1 24.00      0  66        0         0
#> 20.2  24.00      0  46        1         0
#> 64.1  24.00      0  43        0         0
#> 11    24.00      0  42        0         1
#> 198   24.00      0  66        0         1
#> 95    24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 33.3  24.00      0  53        0         0
#> 44.1  24.00      0  56        0         0
#> 12.1  24.00      0  63        0         0
#> 87    24.00      0  27        0         0
#> 102.1 24.00      0  49        0         0
#> 146   24.00      0  63        1         0
#> 28    24.00      0  67        1         0
#> 148.1 24.00      0  61        1         0
#> 73    24.00      0  NA        0         1
#> 143.2 24.00      0  51        0         0
#> 11.1  24.00      0  42        0         1
#> 34    24.00      0  36        0         0
#> 191.1 24.00      0  60        0         1
#> 1     24.00      0  23        1         0
#> 115   24.00      0  NA        1         0
#> 182.1 24.00      0  35        0         0
#> 141   24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 65    24.00      0  57        1         0
#> 163   24.00      0  66        0         0
#> 191.2 24.00      0  60        0         1
#> 162   24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 161.1 24.00      0  45        0         0
#> 3.1   24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 198.1 24.00      0  66        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.984         NA        NA      NA
#> 2 age, Cure model           0.0157        NA        NA      NA
#> 3 grade_ii, Cure model      0.311         NA        NA      NA
#> 4 grade_iii, Cure model     0.900         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00880        NA        NA      NA
#> 2 grade_ii, Survival model   0.395          NA        NA      NA
#> 3 grade_iii, Survival model  0.616          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.98375           0.01569           0.31096           0.90044  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 247.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.98375107       0.01568841       0.31096090       0.90044440 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008803032      0.394562453      0.615884554 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.769702729 0.480654257 0.947917221 0.947917221 0.697461819 0.573136168
#>   [7] 0.234774842 0.853447788 0.491166362 0.428765610 0.491166362 0.376773668
#>  [13] 0.397386096 0.728398282 0.168565003 0.614219427 0.197043763 0.148687867
#>  [19] 0.407834771 0.158599653 0.091937588 0.759257046 0.006789924 0.801161994
#>  [25] 0.129706087 0.407834771 0.707825991 0.624574982 0.021087650 0.583406695
#>  [31] 0.006789924 0.063749253 0.334935853 0.832483959 0.283229765 0.001576650
#>  [37] 0.234774842 0.187447274 0.021087650 0.045273198 0.036413453 0.655979902
#>  [43] 0.225144553 0.111246054 0.542804392 0.168565003 0.842960814 0.376773668
#>  [49] 0.470107361 0.593644484 0.916384009 0.334935853 0.801161994 0.091937588
#>  [55] 0.666444410 0.522103380 0.303857283 0.916384009 0.459676713 0.634989044
#>  [61] 0.895380883 0.676868696 0.853447788 0.707825991 0.853447788 0.355671761
#>  [67] 0.937374445 0.054610177 0.780217373 0.542804392 0.676868696 0.603896000
#>  [73] 0.728398282 0.366229293 0.082391265 0.063749253 0.283229765 0.197043763
#>  [79] 0.234774842 0.428765610 0.215644795 0.968847528 0.428765610 0.542804392
#>  [85] 0.645450806 0.129706087 0.491166362 0.234774842 0.728398282 0.780217373
#>  [91] 0.111246054 0.314256114 0.273031864 0.968847528 0.968847528 0.821996270
#>  [97] 0.884819279 0.895380883 0.324603323 0.522103380 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   177    45    91  91.1    60   192   150    10   106   110 106.1    40   134 
#> 12.53 17.42  5.33  5.33 13.15 16.44 20.33 10.53 16.67 17.56 16.67 18.00 17.81 
#>    14    36    29    32   139   184   153   175   140   168    42   197 184.1 
#> 12.89 21.19 15.45 20.90 21.49 17.77 21.33 21.91 12.68 23.72 12.43 21.60 17.77 
#>   123   157   164     5 168.1   169   179    43   105    78 150.1    90 164.1 
#> 13.00 15.10 23.60 16.43 23.72 22.41 18.63 12.10 19.75 23.88 20.33 20.94 23.60 
#>   113   129    96    68   136   181  36.1   107  40.1    30    79    77 179.1 
#> 22.86 23.41 14.54 20.62 21.83 16.46 21.19 11.18 18.00 17.43 16.23  7.27 18.63 
#>  42.1 175.1    57   130   170  77.1   117   180    16    13  10.1 123.1  10.2 
#> 12.43 21.91 14.46 16.47 19.54  7.27 17.46 14.82  8.71 14.34 10.53 13.00 10.53 
#>    51    25    63    37 181.1  13.1   100  14.1    41   194 169.1 105.1  32.1 
#> 18.23  6.32 22.77 12.52 16.46 14.34 16.07 12.89 18.02 22.40 22.41 19.75 20.90 
#> 150.2 110.1   190   127 110.2 181.2   133 197.1 106.2 150.3  14.2  37.1 136.1 
#> 20.33 17.56 20.81  3.53 17.56 16.46 14.65 21.60 16.67 20.33 12.89 12.52 21.83 
#>    76   158 127.1 127.2    49    93  16.1    97 130.1   126     3   148   152 
#> 19.22 20.14  3.53  3.53 12.19 10.33  8.71 19.14 16.47 24.00 24.00 24.00 24.00 
#>   131 152.1    47   138   191   102   120   143   118   182    31    64   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33    82    17 143.1   151  17.1    20   174  31.1 126.1     2   142    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1  82.1  20.1  33.2    48 174.1    12   109   161    54  47.1    94   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.2 151.1   193    80   156     7  82.2   186   132   2.1    44 131.1  20.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1    11   198    95    27  33.3  44.1  12.1    87 102.1   146    28 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.2  11.1    34 191.1     1 182.1   141   1.1    65   163 191.2   162   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1   3.1    98 198.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[57]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01072888                0.94043690                0.56635872 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.74667169              0.01151432              0.17327765 
#>   grade_iii, Cure model 
#>              0.88549578 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 41    18.02      1  40        1         0
#> 179   18.63      1  42        0         0
#> 197   21.60      1  69        1         0
#> 79    16.23      1  54        1         0
#> 61    10.12      1  36        0         1
#> 183    9.24      1  67        1         0
#> 16     8.71      1  71        0         1
#> 168   23.72      1  70        0         0
#> 179.1 18.63      1  42        0         0
#> 177   12.53      1  75        0         0
#> 127    3.53      1  62        0         1
#> 52    10.42      1  52        0         1
#> 170   19.54      1  43        0         1
#> 158   20.14      1  74        1         0
#> 24    23.89      1  38        0         0
#> 159   10.55      1  50        0         1
#> 188   16.16      1  46        0         1
#> 180   14.82      1  37        0         0
#> 125   15.65      1  67        1         0
#> 88    18.37      1  47        0         0
#> 125.1 15.65      1  67        1         0
#> 158.1 20.14      1  74        1         0
#> 78    23.88      1  43        0         0
#> 175   21.91      1  43        0         0
#> 89    11.44      1  NA        0         0
#> 96    14.54      1  33        0         1
#> 153   21.33      1  55        1         0
#> 117   17.46      1  26        0         1
#> 89.1  11.44      1  NA        0         0
#> 199   19.81      1  NA        0         1
#> 37    12.52      1  57        1         0
#> 114   13.68      1  NA        0         0
#> 78.1  23.88      1  43        0         0
#> 179.2 18.63      1  42        0         0
#> 60    13.15      1  38        1         0
#> 105   19.75      1  60        0         0
#> 89.2  11.44      1  NA        0         0
#> 187    9.92      1  39        1         0
#> 106   16.67      1  49        1         0
#> 136   21.83      1  43        0         1
#> 114.1 13.68      1  NA        0         0
#> 189   10.51      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 81    14.06      1  34        0         0
#> 14    12.89      1  21        0         0
#> 5     16.43      1  51        0         1
#> 194   22.40      1  38        0         1
#> 89.3  11.44      1  NA        0         0
#> 88.1  18.37      1  47        0         0
#> 158.2 20.14      1  74        1         0
#> 128   20.35      1  35        0         1
#> 29    15.45      1  68        1         0
#> 168.1 23.72      1  70        0         0
#> 199.1 19.81      1  NA        0         1
#> 61.1  10.12      1  36        0         1
#> 96.1  14.54      1  33        0         1
#> 36    21.19      1  48        0         1
#> 16.1   8.71      1  71        0         1
#> 69    23.23      1  25        0         1
#> 77     7.27      1  67        0         1
#> 42    12.43      1  49        0         1
#> 166   19.98      1  48        0         0
#> 134   17.81      1  47        1         0
#> 15    22.68      1  48        0         0
#> 188.1 16.16      1  46        0         1
#> 195   11.76      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 114.2 13.68      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 149    8.37      1  33        1         0
#> 158.3 20.14      1  74        1         0
#> 184   17.77      1  38        0         0
#> 77.1   7.27      1  67        0         1
#> 76    19.22      1  54        0         1
#> 51    18.23      1  83        0         1
#> 81.1  14.06      1  34        0         0
#> 129   23.41      1  53        1         0
#> 159.1 10.55      1  50        0         1
#> 57    14.46      1  45        0         1
#> 140   12.68      1  59        1         0
#> 100   16.07      1  60        0         0
#> 187.1  9.92      1  39        1         0
#> 25     6.32      1  34        1         0
#> 154   12.63      1  20        1         0
#> 5.1   16.43      1  51        0         1
#> 41.1  18.02      1  40        1         0
#> 8     18.43      1  32        0         0
#> 136.1 21.83      1  43        0         1
#> 150   20.33      1  48        0         0
#> 100.1 16.07      1  60        0         0
#> 10    10.53      1  34        0         0
#> 37.1  12.52      1  57        1         0
#> 86    23.81      1  58        0         1
#> 14.1  12.89      1  21        0         0
#> 167   15.55      1  56        1         0
#> 128.1 20.35      1  35        0         1
#> 50    10.02      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 189.1 10.51      1  NA        1         0
#> 6.1   15.64      1  39        0         0
#> 130   16.47      1  53        0         1
#> 110.1 17.56      1  65        0         1
#> 108   18.29      1  39        0         1
#> 110.2 17.56      1  65        0         1
#> 107   11.18      1  54        1         0
#> 107.1 11.18      1  54        1         0
#> 145   10.07      1  65        1         0
#> 61.2  10.12      1  36        0         1
#> 166.1 19.98      1  48        0         0
#> 6.2   15.64      1  39        0         0
#> 78.2  23.88      1  43        0         0
#> 164   23.60      1  76        0         1
#> 35    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 64    24.00      0  43        0         0
#> 147   24.00      0  76        1         0
#> 126   24.00      0  48        0         0
#> 3     24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 193   24.00      0  45        0         1
#> 121   24.00      0  57        1         0
#> 84    24.00      0  39        0         1
#> 116   24.00      0  58        0         1
#> 163   24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 137   24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 163.1 24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 3.1   24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 165   24.00      0  47        0         0
#> 75    24.00      0  21        1         0
#> 3.2   24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 46    24.00      0  71        0         0
#> 65    24.00      0  57        1         0
#> 34.1  24.00      0  36        0         0
#> 67    24.00      0  25        0         0
#> 104   24.00      0  50        1         0
#> 109   24.00      0  48        0         0
#> 71    24.00      0  51        0         0
#> 121.1 24.00      0  57        1         0
#> 31    24.00      0  36        0         1
#> 137.1 24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 161   24.00      0  45        0         0
#> 185   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 173   24.00      0  19        0         1
#> 34.2  24.00      0  36        0         0
#> 198   24.00      0  66        0         1
#> 116.1 24.00      0  58        0         1
#> 38.1  24.00      0  31        1         0
#> 46.1  24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 28.1  24.00      0  67        1         0
#> 137.2 24.00      0  45        1         0
#> 64.1  24.00      0  43        0         0
#> 162   24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 102   24.00      0  49        0         0
#> 54    24.00      0  53        1         0
#> 104.1 24.00      0  50        1         0
#> 142   24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 191.1 24.00      0  60        0         1
#> 3.3   24.00      0  31        1         0
#> 3.4   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 119   24.00      0  17        0         0
#> 82    24.00      0  34        0         0
#> 7.1   24.00      0  37        1         0
#> 48.1  24.00      0  31        1         0
#> 173.1 24.00      0  19        0         1
#> 191.2 24.00      0  60        0         1
#> 193.1 24.00      0  45        0         1
#> 200.1 24.00      0  64        0         0
#> 109.1 24.00      0  48        0         0
#> 131   24.00      0  66        0         0
#> 163.2 24.00      0  66        0         0
#> 27    24.00      0  63        1         0
#> 44.1  24.00      0  56        0         0
#> 71.1  24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 47.1  24.00      0  38        0         1
#> 94    24.00      0  51        0         1
#> 7.2   24.00      0  37        1         0
#> 147.1 24.00      0  76        1         0
#> 35.1  24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 87    24.00      0  27        0         0
#> 172.1 24.00      0  41        0         0
#> 131.1 24.00      0  66        0         0
#> 31.1  24.00      0  36        0         1
#> 151.2 24.00      0  42        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.747         NA        NA      NA
#> 2 age, Cure model           0.0115        NA        NA      NA
#> 3 grade_ii, Cure model      0.173         NA        NA      NA
#> 4 grade_iii, Cure model     0.885         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0107        NA        NA      NA
#> 2 grade_ii, Survival model    0.940         NA        NA      NA
#> 3 grade_iii, Survival model   0.566         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.74667           0.01151           0.17328           0.88550  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.1 
#> Residual Deviance: 249.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.74667169       0.01151432       0.17327765       0.88549578 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01072888       0.94043690       0.56635872 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.377353252 0.291725823 0.142660300 0.513492892 0.862999527 0.922110873
#>   [7] 0.931895009 0.035608070 0.291725823 0.762401124 0.990299671 0.852936505
#>  [13] 0.271120363 0.203871595 0.001840789 0.822936904 0.523844996 0.637921004
#>  [19] 0.565094624 0.333496149 0.565094624 0.203871595 0.008277547 0.110647874
#>  [25] 0.648450164 0.153328836 0.450809125 0.772661419 0.008277547 0.291725823
#>  [31] 0.700510435 0.260776628 0.902595322 0.461408771 0.121789530 0.585716647
#>  [37] 0.679611749 0.721256619 0.492817990 0.099906493 0.333496149 0.203871595
#>  [43] 0.174027205 0.627448481 0.035608070 0.862999527 0.648450164 0.163695151
#>  [49] 0.931895009 0.078538918 0.961172513 0.792838509 0.240866776 0.398398490
#>  [55] 0.088964192 0.523844996 0.482361260 0.419512835 0.951433004 0.203871595
#>  [61] 0.408910029 0.961172513 0.281420636 0.366261067 0.679611749 0.067612918
#>  [67] 0.822936904 0.669179655 0.741882847 0.544284311 0.902595322 0.980608276
#>  [73] 0.752216592 0.492817990 0.377353252 0.322713688 0.121789530 0.193606515
#>  [79] 0.544284311 0.842872475 0.772661419 0.026763261 0.721256619 0.616934768
#>  [85] 0.174027205 0.710928732 0.585716647 0.471884747 0.419512835 0.355261129
#>  [91] 0.419512835 0.802986681 0.802986681 0.892635831 0.862999527 0.240866776
#>  [97] 0.585716647 0.008277547 0.055836469 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    41   179   197    79    61   183    16   168 179.1   177   127    52   170 
#> 18.02 18.63 21.60 16.23 10.12  9.24  8.71 23.72 18.63 12.53  3.53 10.42 19.54 
#>   158    24   159   188   180   125    88 125.1 158.1    78   175    96   153 
#> 20.14 23.89 10.55 16.16 14.82 15.65 18.37 15.65 20.14 23.88 21.91 14.54 21.33 
#>   117    37  78.1 179.2    60   105   187   106   136     6    81    14     5 
#> 17.46 12.52 23.88 18.63 13.15 19.75  9.92 16.67 21.83 15.64 14.06 12.89 16.43 
#>   194  88.1 158.2   128    29 168.1  61.1  96.1    36  16.1    69    77    42 
#> 22.40 18.37 20.14 20.35 15.45 23.72 10.12 14.54 21.19  8.71 23.23  7.27 12.43 
#>   166   134    15 188.1   181   110   149 158.3   184  77.1    76    51  81.1 
#> 19.98 17.81 22.68 16.16 16.46 17.56  8.37 20.14 17.77  7.27 19.22 18.23 14.06 
#>   129 159.1    57   140   100 187.1    25   154   5.1  41.1     8 136.1   150 
#> 23.41 10.55 14.46 12.68 16.07  9.92  6.32 12.63 16.43 18.02 18.43 21.83 20.33 
#> 100.1    10  37.1    86  14.1   167 128.1   123   6.1   130 110.1   108 110.2 
#> 16.07 10.53 12.52 23.81 12.89 15.55 20.35 13.00 15.64 16.47 17.56 18.29 17.56 
#>   107 107.1   145  61.2 166.1   6.2  78.2   164    35    34    64   147   126 
#> 11.18 11.18 10.07 10.12 19.98 15.64 23.88 23.60 24.00 24.00 24.00 24.00 24.00 
#>     3   152   151   193   121    84   116   163    74   137    20 163.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1    47   165    75   3.2    48    38 151.1    46    65  34.1    67   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109    71 121.1    31 137.1   120   161   185     7   173  34.2   198 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.1  46.1    28  28.1 137.2  64.1   162   200   102    54 104.1   142    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1   3.3   3.4    33   119    82   7.1  48.1 173.1 191.2 193.1 200.1 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131 163.2    27  44.1  71.1   135  47.1    94   7.2 147.1  35.1   172    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1 131.1  31.1 151.2 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[58]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01305735                0.96572873                0.35128854 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.48693680              0.01489238             -0.31410211 
#>   grade_iii, Cure model 
#>              0.25164245 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 57    14.46      1  45        0         1
#> 159   10.55      1  50        0         1
#> 140   12.68      1  59        1         0
#> 15    22.68      1  48        0         0
#> 86    23.81      1  58        0         1
#> 89    11.44      1  NA        0         0
#> 15.1  22.68      1  48        0         0
#> 164   23.60      1  76        0         1
#> 52    10.42      1  52        0         1
#> 92    22.92      1  47        0         1
#> 85    16.44      1  36        0         0
#> 79    16.23      1  54        1         0
#> 150   20.33      1  48        0         0
#> 145   10.07      1  65        1         0
#> 23    16.92      1  61        0         0
#> 127    3.53      1  62        0         1
#> 29    15.45      1  68        1         0
#> 169   22.41      1  46        0         0
#> 39    15.59      1  37        0         1
#> 167   15.55      1  56        1         0
#> 157   15.10      1  47        0         0
#> 60    13.15      1  38        1         0
#> 30    17.43      1  78        0         0
#> 69    23.23      1  25        0         1
#> 194   22.40      1  38        0         1
#> 52.1  10.42      1  52        0         1
#> 113   22.86      1  34        0         0
#> 92.1  22.92      1  47        0         1
#> 197   21.60      1  69        1         0
#> 145.1 10.07      1  65        1         0
#> 89.1  11.44      1  NA        0         0
#> 140.1 12.68      1  59        1         0
#> 170   19.54      1  43        0         1
#> 89.2  11.44      1  NA        0         0
#> 78    23.88      1  43        0         0
#> 26    15.77      1  49        0         1
#> 56    12.21      1  60        0         0
#> 42    12.43      1  49        0         1
#> 197.1 21.60      1  69        1         0
#> 51    18.23      1  83        0         1
#> 59    10.16      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 123   13.00      1  44        1         0
#> 5     16.43      1  51        0         1
#> 125   15.65      1  67        1         0
#> 175   21.91      1  43        0         0
#> 155   13.08      1  26        0         0
#> 76    19.22      1  54        0         1
#> 101    9.97      1  10        0         1
#> 93    10.33      1  52        0         1
#> 55    19.34      1  69        0         1
#> 81    14.06      1  34        0         0
#> 25     6.32      1  34        1         0
#> 150.1 20.33      1  48        0         0
#> 188   16.16      1  46        0         1
#> 123.1 13.00      1  44        1         0
#> 61    10.12      1  36        0         1
#> 136   21.83      1  43        0         1
#> 100   16.07      1  60        0         0
#> 6     15.64      1  39        0         0
#> 128   20.35      1  35        0         1
#> 25.1   6.32      1  34        1         0
#> 197.2 21.60      1  69        1         0
#> 180   14.82      1  37        0         0
#> 183    9.24      1  67        1         0
#> 101.1  9.97      1  10        0         1
#> 169.1 22.41      1  46        0         0
#> 16     8.71      1  71        0         1
#> 187    9.92      1  39        1         0
#> 8     18.43      1  32        0         0
#> 181   16.46      1  45        0         1
#> 145.2 10.07      1  65        1         0
#> 52.2  10.42      1  52        0         1
#> 61.1  10.12      1  36        0         1
#> 155.1 13.08      1  26        0         0
#> 134   17.81      1  47        1         0
#> 134.1 17.81      1  47        1         0
#> 68    20.62      1  44        0         0
#> 134.2 17.81      1  47        1         0
#> 155.2 13.08      1  26        0         0
#> 56.1  12.21      1  60        0         0
#> 5.1   16.43      1  51        0         1
#> 88    18.37      1  47        0         0
#> 96    14.54      1  33        0         1
#> 167.1 15.55      1  56        1         0
#> 13    14.34      1  54        0         1
#> 184.1 17.77      1  38        0         0
#> 140.2 12.68      1  59        1         0
#> 59.1  10.16      1  NA        1         0
#> 52.3  10.42      1  52        0         1
#> 60.1  13.15      1  38        1         0
#> 15.2  22.68      1  48        0         0
#> 125.1 15.65      1  67        1         0
#> 180.1 14.82      1  37        0         0
#> 60.2  13.15      1  38        1         0
#> 110   17.56      1  65        0         1
#> 108   18.29      1  39        0         1
#> 124    9.73      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 159.1 10.55      1  50        0         1
#> 187.1  9.92      1  39        1         0
#> 140.3 12.68      1  59        1         0
#> 114   13.68      1  NA        0         0
#> 187.2  9.92      1  39        1         0
#> 51.1  18.23      1  83        0         1
#> 153   21.33      1  55        1         0
#> 169.2 22.41      1  46        0         0
#> 106   16.67      1  49        1         0
#> 97    19.14      1  65        0         1
#> 85.1  16.44      1  36        0         0
#> 32    20.90      1  37        1         0
#> 189   10.51      1  NA        1         0
#> 2     24.00      0   9        0         0
#> 135   24.00      0  58        1         0
#> 33    24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 38    24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 121   24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 17    24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 118.1 24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 182   24.00      0  35        0         0
#> 103   24.00      0  56        1         0
#> 103.1 24.00      0  56        1         0
#> 147   24.00      0  76        1         0
#> 161   24.00      0  45        0         0
#> 7     24.00      0  37        1         0
#> 7.1   24.00      0  37        1         0
#> 62    24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 156   24.00      0  50        1         0
#> 126   24.00      0  48        0         0
#> 116   24.00      0  58        0         1
#> 103.2 24.00      0  56        1         0
#> 135.1 24.00      0  58        1         0
#> 138   24.00      0  44        1         0
#> 121.1 24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 116.1 24.00      0  58        0         1
#> 143   24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 3     24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 2.1   24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 147.1 24.00      0  76        1         0
#> 74    24.00      0  43        0         1
#> 95    24.00      0  68        0         1
#> 11    24.00      0  42        0         1
#> 17.1  24.00      0  38        0         1
#> 104.1 24.00      0  50        1         0
#> 104.2 24.00      0  50        1         0
#> 53    24.00      0  32        0         1
#> 83    24.00      0   6        0         0
#> 74.1  24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 198   24.00      0  66        0         1
#> 62.1  24.00      0  71        0         0
#> 95.1  24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 162.1 24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 75    24.00      0  21        1         0
#> 185   24.00      0  44        1         0
#> 27.1  24.00      0  63        1         0
#> 75.1  24.00      0  21        1         0
#> 173   24.00      0  19        0         1
#> 47    24.00      0  38        0         1
#> 33.1  24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 73    24.00      0  NA        0         1
#> 185.1 24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 3.1   24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 74.2  24.00      0  43        0         1
#> 1     24.00      0  23        1         0
#> 54.1  24.00      0  53        1         0
#> 165   24.00      0  47        0         0
#> 47.1  24.00      0  38        0         1
#> 80    24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 144   24.00      0  28        0         1
#> 103.3 24.00      0  56        1         0
#> 19.1  24.00      0  57        0         1
#> 98    24.00      0  34        1         0
#> 152   24.00      0  36        0         1
#> 112   24.00      0  61        0         0
#> 160   24.00      0  31        1         0
#> 35.1  24.00      0  51        0         0
#> 17.2  24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 31    24.00      0  36        0         1
#> 12    24.00      0  63        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.487         NA        NA      NA
#> 2 age, Cure model           0.0149        NA        NA      NA
#> 3 grade_ii, Cure model     -0.314         NA        NA      NA
#> 4 grade_iii, Cure model     0.252         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0131        NA        NA      NA
#> 2 grade_ii, Survival model    0.966         NA        NA      NA
#> 3 grade_iii, Survival model   0.351         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.48694           0.01489          -0.31410           0.25164  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 257.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.48693680       0.01489238      -0.31410211       0.25164245 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01305735       0.96572873       0.35128854 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.565604180 0.759666747 0.685387150 0.031120402 0.002829336 0.031120402
#>   [7] 0.006351391 0.781495476 0.016028587 0.361666666 0.403477272 0.152854169
#>  [13] 0.858723268 0.320696580 0.989217084 0.510956990 0.049125889 0.478638523
#>  [19] 0.489575955 0.521743295 0.599172713 0.310600441 0.011198331 0.070774002
#>  [25] 0.781495476 0.025446887 0.016028587 0.096426428 0.858723268 0.685387150
#>  [31] 0.169731605 0.000490074 0.435507208 0.738000139 0.727258719 0.096426428
#>  [37] 0.234234571 0.281497103 0.663833357 0.382417625 0.446369375 0.079012070
#>  [43] 0.631264593 0.187405191 0.891811113 0.825216586 0.178475875 0.587910563
#>  [49] 0.967853931 0.152854169 0.414064852 0.663833357 0.836413282 0.087636973
#>  [55] 0.424712529 0.467731884 0.144606029 0.967853931 0.096426428 0.532632859
#>  [61] 0.946094069 0.891811113 0.049125889 0.956946926 0.913872798 0.205687887
#>  [67] 0.351363070 0.858723268 0.781495476 0.836413282 0.631264593 0.253899769
#>  [73] 0.253899769 0.136404932 0.253899769 0.631264593 0.738000139 0.382417625
#>  [79] 0.215056140 0.554528961 0.489575955 0.576725232 0.281497103 0.685387150
#>  [85] 0.781495476 0.599172713 0.031120402 0.446369375 0.532632859 0.599172713
#>  [91] 0.300709704 0.224615423 0.341122689 0.759666747 0.913872798 0.685387150
#>  [97] 0.913872798 0.234234571 0.120102286 0.049125889 0.330970330 0.196463173
#> [103] 0.361666666 0.128413882 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    57   159   140    15    86  15.1   164    52    92    85    79   150   145 
#> 14.46 10.55 12.68 22.68 23.81 22.68 23.60 10.42 22.92 16.44 16.23 20.33 10.07 
#>    23   127    29   169    39   167   157    60    30    69   194  52.1   113 
#> 16.92  3.53 15.45 22.41 15.59 15.55 15.10 13.15 17.43 23.23 22.40 10.42 22.86 
#>  92.1   197 145.1 140.1   170    78    26    56    42 197.1    51   184   123 
#> 22.92 21.60 10.07 12.68 19.54 23.88 15.77 12.21 12.43 21.60 18.23 17.77 13.00 
#>     5   125   175   155    76   101    93    55    81    25 150.1   188 123.1 
#> 16.43 15.65 21.91 13.08 19.22  9.97 10.33 19.34 14.06  6.32 20.33 16.16 13.00 
#>    61   136   100     6   128  25.1 197.2   180   183 101.1 169.1    16   187 
#> 10.12 21.83 16.07 15.64 20.35  6.32 21.60 14.82  9.24  9.97 22.41  8.71  9.92 
#>     8   181 145.2  52.2  61.1 155.1   134 134.1    68 134.2 155.2  56.1   5.1 
#> 18.43 16.46 10.07 10.42 10.12 13.08 17.81 17.81 20.62 17.81 13.08 12.21 16.43 
#>    88    96 167.1    13 184.1 140.2  52.3  60.1  15.2 125.1 180.1  60.2   110 
#> 18.37 14.54 15.55 14.34 17.77 12.68 10.42 13.15 22.68 15.65 14.82 13.15 17.56 
#>   108   130 159.1 187.1 140.3 187.2  51.1   153 169.2   106    97  85.1    32 
#> 18.29 16.47 10.55  9.92 12.68  9.92 18.23 21.33 22.41 16.67 19.14 16.44 20.90 
#>     2   135    33    38   102   121   119    17   104   118   141 118.1    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182   103 103.1   147   161     7   7.1    62    54   156   126   116 103.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1   138 121.1    35 116.1   143   132     3    94   2.1   172 147.1    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    11  17.1 104.1 104.2    53    83  74.1   162   191   198  62.1  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200 162.1    27    75   185  27.1  75.1   173    47  33.1   137 185.1    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1   109  74.2     1  54.1   165  47.1    80    72   144 103.3  19.1    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   112   160  35.1  17.2   151    31    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[59]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008872266               0.255888626               0.470015041 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.315478330             0.002748941             0.361081153 
#>   grade_iii, Cure model 
#>             0.703483987 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 190   20.81      1  42        1         0
#> 6     15.64      1  39        0         0
#> 16     8.71      1  71        0         1
#> 113   22.86      1  34        0         0
#> 190.1 20.81      1  42        1         0
#> 81    14.06      1  34        0         0
#> 29    15.45      1  68        1         0
#> 155   13.08      1  26        0         0
#> 100   16.07      1  60        0         0
#> 97    19.14      1  65        0         1
#> 181   16.46      1  45        0         1
#> 50    10.02      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 57    14.46      1  45        0         1
#> 189   10.51      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 164   23.60      1  76        0         1
#> 99    21.19      1  38        0         1
#> 108   18.29      1  39        0         1
#> 78.1  23.88      1  43        0         0
#> 106   16.67      1  49        1         0
#> 52    10.42      1  52        0         1
#> 183    9.24      1  67        1         0
#> 114   13.68      1  NA        0         0
#> 128   20.35      1  35        0         1
#> 14    12.89      1  21        0         0
#> 133   14.65      1  57        0         0
#> 155.1 13.08      1  26        0         0
#> 124    9.73      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 190.2 20.81      1  42        1         0
#> 153   21.33      1  55        1         0
#> 77     7.27      1  67        0         1
#> 194   22.40      1  38        0         1
#> 157   15.10      1  47        0         0
#> 153.1 21.33      1  55        1         0
#> 149    8.37      1  33        1         0
#> 16.1   8.71      1  71        0         1
#> 190.3 20.81      1  42        1         0
#> 159   10.55      1  50        0         1
#> 197   21.60      1  69        1         0
#> 63.1  22.77      1  31        1         0
#> 5     16.43      1  51        0         1
#> 90    20.94      1  50        0         1
#> 107   11.18      1  54        1         0
#> 29.1  15.45      1  68        1         0
#> 89    11.44      1  NA        0         0
#> 100.1 16.07      1  60        0         0
#> 93    10.33      1  52        0         1
#> 197.1 21.60      1  69        1         0
#> 42    12.43      1  49        0         1
#> 108.1 18.29      1  39        0         1
#> 107.1 11.18      1  54        1         0
#> 40    18.00      1  28        1         0
#> 100.2 16.07      1  60        0         0
#> 125   15.65      1  67        1         0
#> 15    22.68      1  48        0         0
#> 30    17.43      1  78        0         0
#> 154   12.63      1  20        1         0
#> 127    3.53      1  62        0         1
#> 88    18.37      1  47        0         0
#> 114.1 13.68      1  NA        0         0
#> 63.2  22.77      1  31        1         0
#> 177   12.53      1  75        0         0
#> 57.1  14.46      1  45        0         1
#> 170   19.54      1  43        0         1
#> 60    13.15      1  38        1         0
#> 170.1 19.54      1  43        0         1
#> 139   21.49      1  63        1         0
#> 139.1 21.49      1  63        1         0
#> 89.1  11.44      1  NA        0         0
#> 57.2  14.46      1  45        0         1
#> 127.1  3.53      1  62        0         1
#> 179   18.63      1  42        0         0
#> 43    12.10      1  61        0         1
#> 153.2 21.33      1  55        1         0
#> 68    20.62      1  44        0         0
#> 140   12.68      1  59        1         0
#> 184   17.77      1  38        0         0
#> 125.1 15.65      1  67        1         0
#> 61    10.12      1  36        0         1
#> 181.1 16.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 8     18.43      1  32        0         0
#> 97.1  19.14      1  65        0         1
#> 159.1 10.55      1  50        0         1
#> 13    14.34      1  54        0         1
#> 29.2  15.45      1  68        1         0
#> 41    18.02      1  40        1         0
#> 181.2 16.46      1  45        0         1
#> 100.3 16.07      1  60        0         0
#> 90.1  20.94      1  50        0         1
#> 155.2 13.08      1  26        0         0
#> 78.2  23.88      1  43        0         0
#> 25     6.32      1  34        1         0
#> 89.2  11.44      1  NA        0         0
#> 89.3  11.44      1  NA        0         0
#> 192   16.44      1  31        1         0
#> 150   20.33      1  48        0         0
#> 194.1 22.40      1  38        0         1
#> 15.1  22.68      1  48        0         0
#> 29.3  15.45      1  68        1         0
#> 29.4  15.45      1  68        1         0
#> 175   21.91      1  43        0         0
#> 14.1  12.89      1  21        0         0
#> 91     5.33      1  61        0         1
#> 149.1  8.37      1  33        1         0
#> 183.1  9.24      1  67        1         0
#> 69    23.23      1  25        0         1
#> 39    15.59      1  37        0         1
#> 88.1  18.37      1  47        0         0
#> 101    9.97      1  10        0         1
#> 38    24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 200   24.00      0  64        0         0
#> 122   24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 74    24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 65    24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 17    24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 132   24.00      0  55        0         0
#> 12.1  24.00      0  63        0         0
#> 112   24.00      0  61        0         0
#> 80    24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 34    24.00      0  36        0         0
#> 165   24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 151   24.00      0  42        0         0
#> 20    24.00      0  46        1         0
#> 75    24.00      0  21        1         0
#> 83    24.00      0   6        0         0
#> 182   24.00      0  35        0         0
#> 182.1 24.00      0  35        0         0
#> 143   24.00      0  51        0         0
#> 95.1  24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 200.1 24.00      0  64        0         0
#> 34.1  24.00      0  36        0         0
#> 103   24.00      0  56        1         0
#> 116   24.00      0  58        0         1
#> 102   24.00      0  49        0         0
#> 38.1  24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 151.1 24.00      0  42        0         0
#> 186.1 24.00      0  45        1         0
#> 71    24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 185   24.00      0  44        1         0
#> 132.1 24.00      0  55        0         0
#> 186.2 24.00      0  45        1         0
#> 116.1 24.00      0  58        0         1
#> 27    24.00      0  63        1         0
#> 148.1 24.00      0  61        1         0
#> 112.1 24.00      0  61        0         0
#> 84    24.00      0  39        0         1
#> 121   24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 20.1  24.00      0  46        1         0
#> 109   24.00      0  48        0         0
#> 17.1  24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 115   24.00      0  NA        1         0
#> 74.1  24.00      0  43        0         1
#> 186.3 24.00      0  45        1         0
#> 137   24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 87    24.00      0  27        0         0
#> 191   24.00      0  60        0         1
#> 21    24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 122.1 24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 172   24.00      0  41        0         0
#> 135   24.00      0  58        1         0
#> 138   24.00      0  44        1         0
#> 122.2 24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 148.2 24.00      0  61        1         0
#> 31    24.00      0  36        0         1
#> 75.1  24.00      0  21        1         0
#> 173   24.00      0  19        0         1
#> 74.2  24.00      0  43        0         1
#> 74.3  24.00      0  43        0         1
#> 71.1  24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 198   24.00      0  66        0         1
#> 156.1 24.00      0  50        1         0
#> 34.2  24.00      0  36        0         0
#> 137.1 24.00      0  45        1         0
#> 67.1  24.00      0  25        0         0
#> 103.1 24.00      0  56        1         0
#> 11    24.00      0  42        0         1
#> 174   24.00      0  49        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.315          NA        NA      NA
#> 2 age, Cure model          0.00275        NA        NA      NA
#> 3 grade_ii, Cure model     0.361          NA        NA      NA
#> 4 grade_iii, Cure model    0.703          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00887        NA        NA      NA
#> 2 grade_ii, Survival model   0.256          NA        NA      NA
#> 3 grade_iii, Survival model  0.470          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.315478          0.002749          0.361081          0.703484  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 257 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.315478330      0.002748941      0.361081153      0.703483987 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008872266      0.255888626      0.470015041 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.49118443 0.75034540 0.95595530 0.22646670 0.49118443 0.82945902
#>   [7] 0.76345189 0.84109297 0.71044983 0.57300795 0.67526232 0.93538904
#>  [13] 0.80599524 0.09020731 0.17856306 0.46019268 0.62177822 0.09020731
#>  [19] 0.66781076 0.91955123 0.94577165 0.53739795 0.85828334 0.79989389
#>  [25] 0.84109297 0.24826154 0.49118443 0.42740532 0.97582223 0.33267561
#>  [31] 0.79376176 0.42740532 0.96592610 0.95595530 0.49118443 0.90884238
#>  [37] 0.37697410 0.24826154 0.70348407 0.47106371 0.89794171 0.76345189
#>  [43] 0.71044983 0.92487354 0.37697410 0.88680050 0.62177822 0.89794171
#>  [49] 0.64499568 0.71044983 0.73717987 0.29951426 0.66027555 0.87545890
#>  [55] 0.99048318 0.60577554 0.24826154 0.88114695 0.80599524 0.55569622
#>  [61] 0.83529239 0.55569622 0.40318020 0.40318020 0.80599524 0.99048318
#>  [67] 0.58940422 0.89240151 0.42740532 0.52801849 0.86975073 0.65265354
#>  [73] 0.73717987 0.93014915 0.67526232 0.59760828 0.57300795 0.90884238
#>  [79] 0.82361117 0.76345189 0.63727773 0.67526232 0.71044983 0.47106371
#>  [85] 0.84109297 0.09020731 0.98073547 0.69641218 0.54658774 0.33267561
#>  [91] 0.29951426 0.76345189 0.76345189 0.36218933 0.85828334 0.98563040
#>  [97] 0.96592610 0.94577165 0.20390987 0.75693330 0.60577554 0.94059107
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   190     6    16   113 190.1    81    29   155   100    97   181   145    57 
#> 20.81 15.64  8.71 22.86 20.81 14.06 15.45 13.08 16.07 19.14 16.46 10.07 14.46 
#>    78   164    99   108  78.1   106    52   183   128    14   133 155.1    63 
#> 23.88 23.60 21.19 18.29 23.88 16.67 10.42  9.24 20.35 12.89 14.65 13.08 22.77 
#> 190.2   153    77   194   157 153.1   149  16.1 190.3   159   197  63.1     5 
#> 20.81 21.33  7.27 22.40 15.10 21.33  8.37  8.71 20.81 10.55 21.60 22.77 16.43 
#>    90   107  29.1 100.1    93 197.1    42 108.1 107.1    40 100.2   125    15 
#> 20.94 11.18 15.45 16.07 10.33 21.60 12.43 18.29 11.18 18.00 16.07 15.65 22.68 
#>    30   154   127    88  63.2   177  57.1   170    60 170.1   139 139.1  57.2 
#> 17.43 12.63  3.53 18.37 22.77 12.53 14.46 19.54 13.15 19.54 21.49 21.49 14.46 
#> 127.1   179    43 153.2    68   140   184 125.1    61 181.1     8  97.1 159.1 
#>  3.53 18.63 12.10 21.33 20.62 12.68 17.77 15.65 10.12 16.46 18.43 19.14 10.55 
#>    13  29.2    41 181.2 100.3  90.1 155.2  78.2    25   192   150 194.1  15.1 
#> 14.34 15.45 18.02 16.46 16.07 20.94 13.08 23.88  6.32 16.44 20.33 22.40 22.68 
#>  29.3  29.4   175  14.1    91 149.1 183.1    69    39  88.1   101    38   126 
#> 15.45 15.45 21.91 12.89  5.33  8.37  9.24 23.23 15.59 18.37  9.97 24.00 24.00 
#>   200   122    53    74    28    65   118    95    17    12   132  12.1   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80    67    34   165   131   151    20    75    83   182 182.1   143  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186 200.1  34.1   103   116   102  38.1   148 151.1 186.1    71   193   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1 186.2 116.1    27 148.1 112.1    84   121    94  20.1   109  17.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1 186.3   137    47    33    87   191    21   178 122.1    22   172   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138 122.2   144 148.2    31  75.1   173  74.2  74.3  71.1   142   120   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1  34.2 137.1  67.1 103.1    11   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[60]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002205932               0.699173397               0.405745407 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.93908468              0.01798021              0.22605330 
#>   grade_iii, Cure model 
#>              0.90918786 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 14    12.89      1  21        0         0
#> 192   16.44      1  31        1         0
#> 192.1 16.44      1  31        1         0
#> 180   14.82      1  37        0         0
#> 6     15.64      1  39        0         0
#> 188   16.16      1  46        0         1
#> 117   17.46      1  26        0         1
#> 92    22.92      1  47        0         1
#> 192.2 16.44      1  31        1         0
#> 180.1 14.82      1  37        0         0
#> 77     7.27      1  67        0         1
#> 24    23.89      1  38        0         0
#> 181   16.46      1  45        0         1
#> 66    22.13      1  53        0         0
#> 199   19.81      1  NA        0         1
#> 92.1  22.92      1  47        0         1
#> 88    18.37      1  47        0         0
#> 16     8.71      1  71        0         1
#> 23    16.92      1  61        0         0
#> 24.1  23.89      1  38        0         0
#> 57    14.46      1  45        0         1
#> 86    23.81      1  58        0         1
#> 39    15.59      1  37        0         1
#> 157   15.10      1  47        0         0
#> 190   20.81      1  42        1         0
#> 16.1   8.71      1  71        0         1
#> 61    10.12      1  36        0         1
#> 36    21.19      1  48        0         1
#> 111   17.45      1  47        0         1
#> 188.1 16.16      1  46        0         1
#> 134   17.81      1  47        1         0
#> 79    16.23      1  54        1         0
#> 179   18.63      1  42        0         0
#> 78    23.88      1  43        0         0
#> 106   16.67      1  49        1         0
#> 25     6.32      1  34        1         0
#> 40    18.00      1  28        1         0
#> 197   21.60      1  69        1         0
#> 69    23.23      1  25        0         1
#> 90    20.94      1  50        0         1
#> 157.1 15.10      1  47        0         0
#> 30    17.43      1  78        0         0
#> 187    9.92      1  39        1         0
#> 106.1 16.67      1  49        1         0
#> 177   12.53      1  75        0         0
#> 88.1  18.37      1  47        0         0
#> 69.1  23.23      1  25        0         1
#> 68    20.62      1  44        0         0
#> 197.1 21.60      1  69        1         0
#> 14.1  12.89      1  21        0         0
#> 61.1  10.12      1  36        0         1
#> 124    9.73      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 97    19.14      1  65        0         1
#> 52    10.42      1  52        0         1
#> 129   23.41      1  53        1         0
#> 139   21.49      1  63        1         0
#> 36.1  21.19      1  48        0         1
#> 66.1  22.13      1  53        0         0
#> 106.2 16.67      1  49        1         0
#> 4     17.64      1  NA        0         1
#> 78.1  23.88      1  43        0         0
#> 136   21.83      1  43        0         1
#> 41    18.02      1  40        1         0
#> 169   22.41      1  46        0         0
#> 190.1 20.81      1  42        1         0
#> 57.1  14.46      1  45        0         1
#> 29    15.45      1  68        1         0
#> 15    22.68      1  48        0         0
#> 8     18.43      1  32        0         0
#> 89    11.44      1  NA        0         0
#> 68.1  20.62      1  44        0         0
#> 180.2 14.82      1  37        0         0
#> 107   11.18      1  54        1         0
#> 79.1  16.23      1  54        1         0
#> 194   22.40      1  38        0         1
#> 66.2  22.13      1  53        0         0
#> 37    12.52      1  57        1         0
#> 6.1   15.64      1  39        0         0
#> 184   17.77      1  38        0         0
#> 199.1 19.81      1  NA        0         1
#> 81    14.06      1  34        0         0
#> 92.2  22.92      1  47        0         1
#> 29.1  15.45      1  68        1         0
#> 134.1 17.81      1  47        1         0
#> 15.1  22.68      1  48        0         0
#> 168   23.72      1  70        0         0
#> 123   13.00      1  44        1         0
#> 58    19.34      1  39        0         0
#> 181.1 16.46      1  45        0         1
#> 55    19.34      1  69        0         1
#> 110   17.56      1  65        0         1
#> 124.1  9.73      1  NA        1         0
#> 36.2  21.19      1  48        0         1
#> 190.2 20.81      1  42        1         0
#> 168.1 23.72      1  70        0         0
#> 37.1  12.52      1  57        1         0
#> 111.1 17.45      1  47        0         1
#> 197.2 21.60      1  69        1         0
#> 68.2  20.62      1  44        0         0
#> 175   21.91      1  43        0         0
#> 81.1  14.06      1  34        0         0
#> 13    14.34      1  54        0         1
#> 184.1 17.77      1  38        0         0
#> 16.2   8.71      1  71        0         1
#> 125   15.65      1  67        1         0
#> 168.2 23.72      1  70        0         0
#> 107.1 11.18      1  54        1         0
#> 93    10.33      1  52        0         1
#> 8.1   18.43      1  32        0         0
#> 170   19.54      1  43        0         1
#> 45    17.42      1  54        0         1
#> 62    24.00      0  71        0         0
#> 75    24.00      0  21        1         0
#> 185   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 80    24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 200   24.00      0  64        0         0
#> 67    24.00      0  25        0         0
#> 7     24.00      0  37        1         0
#> 17    24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 98    24.00      0  34        1         0
#> 87    24.00      0  27        0         0
#> 64    24.00      0  43        0         0
#> 151   24.00      0  42        0         0
#> 62.1  24.00      0  71        0         0
#> 141   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 33    24.00      0  53        0         0
#> 33.1  24.00      0  53        0         0
#> 34    24.00      0  36        0         0
#> 172   24.00      0  41        0         0
#> 120.1 24.00      0  68        0         1
#> 33.2  24.00      0  53        0         0
#> 75.1  24.00      0  21        1         0
#> 9     24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 33.3  24.00      0  53        0         0
#> 144   24.00      0  28        0         1
#> 109   24.00      0  48        0         0
#> 53    24.00      0  32        0         1
#> 151.1 24.00      0  42        0         0
#> 143   24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 152.1 24.00      0  36        0         1
#> 98.1  24.00      0  34        1         0
#> 116   24.00      0  58        0         1
#> 21    24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 137   24.00      0  45        1         0
#> 21.1  24.00      0  47        0         0
#> 132.1 24.00      0  55        0         0
#> 118   24.00      0  44        1         0
#> 67.1  24.00      0  25        0         0
#> 138   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 7.1   24.00      0  37        1         0
#> 53.1  24.00      0  32        0         1
#> 196.1 24.00      0  19        0         0
#> 98.2  24.00      0  34        1         0
#> 141.1 24.00      0  44        1         0
#> 98.3  24.00      0  34        1         0
#> 182   24.00      0  35        0         0
#> 103   24.00      0  56        1         0
#> 46    24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 143.1 24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 172.1 24.00      0  41        0         0
#> 116.1 24.00      0  58        0         1
#> 186   24.00      0  45        1         0
#> 98.4  24.00      0  34        1         0
#> 118.1 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 48    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 12    24.00      0  63        0         0
#> 2     24.00      0   9        0         0
#> 182.1 24.00      0  35        0         0
#> 46.1  24.00      0  71        0         0
#> 12.1  24.00      0  63        0         0
#> 109.1 24.00      0  48        0         0
#> 141.2 24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 103.1 24.00      0  56        1         0
#> 162   24.00      0  51        0         0
#> 53.2  24.00      0  32        0         1
#> 17.1  24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 94    24.00      0  51        0         1
#> 132.2 24.00      0  55        0         0
#> 1     24.00      0  23        1         0
#> 35    24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.939         NA        NA      NA
#> 2 age, Cure model           0.0180        NA        NA      NA
#> 3 grade_ii, Cure model      0.226         NA        NA      NA
#> 4 grade_iii, Cure model     0.909         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00221        NA        NA      NA
#> 2 grade_ii, Survival model   0.699          NA        NA      NA
#> 3 grade_iii, Survival model  0.406          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.93908           0.01798           0.22605           0.90919  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 256.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.93908468       0.01798021       0.22605330       0.90918786 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002205932      0.699173397      0.405745407 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.87482332 0.68115084 0.68115084 0.79841063 0.74441657 0.72092600
#>   [7] 0.58733523 0.16482908 0.68115084 0.79841063 0.98559412 0.01347989
#>  [13] 0.66455237 0.24532267 0.16482908 0.50612226 0.96402971 0.63087913
#>  [19] 0.01347989 0.82905762 0.06908626 0.75999587 0.78308812 0.38508551
#>  [25] 0.96402971 0.94212475 0.34519042 0.59614314 0.72092600 0.54317382
#>  [31] 0.70513060 0.47817980 0.03999034 0.63958862 0.99281971 0.53404470
#>  [37] 0.30323388 0.13986714 0.37497628 0.78308812 0.61344987 0.95674084
#>  [43] 0.63958862 0.88997170 0.50612226 0.13986714 0.41284956 0.30323388
#>  [49] 0.87482332 0.94212475 0.82133528 0.46883804 0.92734307 0.12566478
#>  [55] 0.33463417 0.34519042 0.24532267 0.63958862 0.03999034 0.29146502
#>  [61] 0.52477430 0.22153061 0.38508551 0.82905762 0.76779510 0.19827837
#>  [67] 0.48753775 0.41284956 0.79841063 0.91256103 0.70513060 0.23354160
#>  [73] 0.24532267 0.89758833 0.74441657 0.56080052 0.85197621 0.16482908
#>  [79] 0.76779510 0.54317382 0.19827837 0.08445535 0.86722204 0.45023056
#>  [85] 0.66455237 0.45023056 0.57847192 0.34519042 0.38508551 0.08445535
#>  [91] 0.89758833 0.59614314 0.30323388 0.41284956 0.27952039 0.85197621
#>  [97] 0.84432883 0.56080052 0.96402971 0.73659930 0.08445535 0.91256103
#> [103] 0.93474378 0.48753775 0.44078806 0.62218475 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    14   192 192.1   180     6   188   117    92 192.2 180.1    77    24   181 
#> 12.89 16.44 16.44 14.82 15.64 16.16 17.46 22.92 16.44 14.82  7.27 23.89 16.46 
#>    66  92.1    88    16    23  24.1    57    86    39   157   190  16.1    61 
#> 22.13 22.92 18.37  8.71 16.92 23.89 14.46 23.81 15.59 15.10 20.81  8.71 10.12 
#>    36   111 188.1   134    79   179    78   106    25    40   197    69    90 
#> 21.19 17.45 16.16 17.81 16.23 18.63 23.88 16.67  6.32 18.00 21.60 23.23 20.94 
#> 157.1    30   187 106.1   177  88.1  69.1    68 197.1  14.1  61.1   133    97 
#> 15.10 17.43  9.92 16.67 12.53 18.37 23.23 20.62 21.60 12.89 10.12 14.65 19.14 
#>    52   129   139  36.1  66.1 106.2  78.1   136    41   169 190.1  57.1    29 
#> 10.42 23.41 21.49 21.19 22.13 16.67 23.88 21.83 18.02 22.41 20.81 14.46 15.45 
#>    15     8  68.1 180.2   107  79.1   194  66.2    37   6.1   184    81  92.2 
#> 22.68 18.43 20.62 14.82 11.18 16.23 22.40 22.13 12.52 15.64 17.77 14.06 22.92 
#>  29.1 134.1  15.1   168   123    58 181.1    55   110  36.2 190.2 168.1  37.1 
#> 15.45 17.81 22.68 23.72 13.00 19.34 16.46 19.34 17.56 21.19 20.81 23.72 12.52 
#> 111.1 197.2  68.2   175  81.1    13 184.1  16.2   125 168.2 107.1    93   8.1 
#> 17.45 21.60 20.62 21.91 14.06 14.34 17.77  8.71 15.65 23.72 11.18 10.33 18.43 
#>   170    45    62    75   185   102    80   131   120   132   200    67     7 
#> 19.54 17.42 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17   196    98    87    64   151  62.1   141    82    33  33.1    34   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1  33.2  75.1     9    44  33.3   144   109    53 151.1   143   152 152.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1   116    21    47   193   137  21.1 132.1   118  67.1   138    71   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1 196.1  98.2 141.1  98.3   182   103    46    74 143.1   156 172.1 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186  98.4 118.1   112    48   174    12     2 182.1  46.1  12.1 109.1 141.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122   121 103.1   162  53.2  17.1   148    94 132.2     1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[61]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006044965               0.895329808               0.573788956 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.87485553              0.01709282              0.06286355 
#>   grade_iii, Cure model 
#>              0.62521258 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 77     7.27      1  67        0         1
#> 6     15.64      1  39        0         0
#> 101    9.97      1  10        0         1
#> 123   13.00      1  44        1         0
#> 76    19.22      1  54        0         1
#> 5     16.43      1  51        0         1
#> 171   16.57      1  41        0         1
#> 125   15.65      1  67        1         0
#> 154   12.63      1  20        1         0
#> 111   17.45      1  47        0         1
#> 81    14.06      1  34        0         0
#> 134   17.81      1  47        1         0
#> 113   22.86      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 79    16.23      1  54        1         0
#> 124    9.73      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 15    22.68      1  48        0         0
#> 78    23.88      1  43        0         0
#> 36    21.19      1  48        0         1
#> 100   16.07      1  60        0         0
#> 86    23.81      1  58        0         1
#> 100.1 16.07      1  60        0         0
#> 114.1 13.68      1  NA        0         0
#> 184   17.77      1  38        0         0
#> 166   19.98      1  48        0         0
#> 99    21.19      1  38        0         1
#> 76.1  19.22      1  54        0         1
#> 59    10.16      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 106   16.67      1  49        1         0
#> 107   11.18      1  54        1         0
#> 14    12.89      1  21        0         0
#> 139   21.49      1  63        1         0
#> 177   12.53      1  75        0         0
#> 51    18.23      1  83        0         1
#> 179   18.63      1  42        0         0
#> 158   20.14      1  74        1         0
#> 56    12.21      1  60        0         0
#> 159   10.55      1  50        0         1
#> 14.1  12.89      1  21        0         0
#> 124.1  9.73      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 24    23.89      1  38        0         0
#> 92    22.92      1  47        0         1
#> 76.2  19.22      1  54        0         1
#> 76.3  19.22      1  54        0         1
#> 145   10.07      1  65        1         0
#> 13    14.34      1  54        0         1
#> 93    10.33      1  52        0         1
#> 66    22.13      1  53        0         0
#> 195   11.76      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 194   22.40      1  38        0         1
#> 51.1  18.23      1  83        0         1
#> 70     7.38      1  30        1         0
#> 32    20.90      1  37        1         0
#> 129   23.41      1  53        1         0
#> 6.1   15.64      1  39        0         0
#> 168   23.72      1  70        0         0
#> 180   14.82      1  37        0         0
#> 150   20.33      1  48        0         0
#> 45    17.42      1  54        0         1
#> 171.1 16.57      1  41        0         1
#> 32.1  20.90      1  37        1         0
#> 55    19.34      1  69        0         1
#> 43    12.10      1  61        0         1
#> 90    20.94      1  50        0         1
#> 179.1 18.63      1  42        0         0
#> 158.1 20.14      1  74        1         0
#> 16     8.71      1  71        0         1
#> 159.1 10.55      1  50        0         1
#> 113.1 22.86      1  34        0         0
#> 150.1 20.33      1  48        0         0
#> 125.1 15.65      1  67        1         0
#> 175   21.91      1  43        0         0
#> 89    11.44      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 51.2  18.23      1  83        0         1
#> 114.2 13.68      1  NA        0         0
#> 100.2 16.07      1  60        0         0
#> 58    19.34      1  39        0         0
#> 110   17.56      1  65        0         1
#> 189   10.51      1  NA        1         0
#> 175.1 21.91      1  43        0         0
#> 136   21.83      1  43        0         1
#> 110.1 17.56      1  65        0         1
#> 78.1  23.88      1  43        0         0
#> 100.3 16.07      1  60        0         0
#> 199   19.81      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 36.1  21.19      1  48        0         1
#> 24.1  23.89      1  38        0         0
#> 37    12.52      1  57        1         0
#> 37.1  12.52      1  57        1         0
#> 108   18.29      1  39        0         1
#> 29.1  15.45      1  68        1         0
#> 113.2 22.86      1  34        0         0
#> 139.1 21.49      1  63        1         0
#> 70.1   7.38      1  30        1         0
#> 114.3 13.68      1  NA        0         0
#> 167   15.55      1  56        1         0
#> 114.4 13.68      1  NA        0         0
#> 184.1 17.77      1  38        0         0
#> 76.4  19.22      1  54        0         1
#> 159.2 10.55      1  50        0         1
#> 13.1  14.34      1  54        0         1
#> 164   23.60      1  76        0         1
#> 139.2 21.49      1  63        1         0
#> 125.2 15.65      1  67        1         0
#> 140   12.68      1  59        1         0
#> 15.1  22.68      1  48        0         0
#> 132   24.00      0  55        0         0
#> 9     24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 95    24.00      0  68        0         1
#> 65    24.00      0  57        1         0
#> 62    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 2     24.00      0   9        0         0
#> 38    24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 17    24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 173   24.00      0  19        0         1
#> 161   24.00      0  45        0         0
#> 73    24.00      0  NA        0         1
#> 185   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 28    24.00      0  67        1         0
#> 200.1 24.00      0  64        0         0
#> 196   24.00      0  19        0         0
#> 27    24.00      0  63        1         0
#> 109   24.00      0  48        0         0
#> 144   24.00      0  28        0         1
#> 11    24.00      0  42        0         1
#> 80    24.00      0  41        0         0
#> 73.1  24.00      0  NA        0         1
#> 160   24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 161.1 24.00      0  45        0         0
#> 75    24.00      0  21        1         0
#> 191   24.00      0  60        0         1
#> 95.1  24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 2.1   24.00      0   9        0         0
#> 147   24.00      0  76        1         0
#> 121   24.00      0  57        1         0
#> 64    24.00      0  43        0         0
#> 87    24.00      0  27        0         0
#> 143   24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 126   24.00      0  48        0         0
#> 126.1 24.00      0  48        0         0
#> 34    24.00      0  36        0         0
#> 122.1 24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 71.1  24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 74.1  24.00      0  43        0         1
#> 147.1 24.00      0  76        1         0
#> 165   24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 74.2  24.00      0  43        0         1
#> 95.2  24.00      0  68        0         1
#> 185.1 24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 67    24.00      0  25        0         0
#> 196.1 24.00      0  19        0         0
#> 176   24.00      0  43        0         1
#> 28.1  24.00      0  67        1         0
#> 185.2 24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 122.2 24.00      0  66        0         0
#> 27.1  24.00      0  63        1         0
#> 160.1 24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 126.2 24.00      0  48        0         0
#> 44    24.00      0  56        0         0
#> 98    24.00      0  34        1         0
#> 147.2 24.00      0  76        1         0
#> 31.1  24.00      0  36        0         1
#> 161.2 24.00      0  45        0         0
#> 73.2  24.00      0  NA        0         1
#> 144.1 24.00      0  28        0         1
#> 131   24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 186   24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 173.1 24.00      0  19        0         1
#> 119   24.00      0  17        0         0
#> 109.1 24.00      0  48        0         0
#> 80.1  24.00      0  41        0         0
#> 80.2  24.00      0  41        0         0
#> 193.1 24.00      0  45        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.875         NA        NA      NA
#> 2 age, Cure model           0.0171        NA        NA      NA
#> 3 grade_ii, Cure model      0.0629        NA        NA      NA
#> 4 grade_iii, Cure model     0.625         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00604        NA        NA      NA
#> 2 grade_ii, Survival model   0.895          NA        NA      NA
#> 3 grade_iii, Survival model  0.574          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.87486           0.01709           0.06286           0.62521  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.2 
#> Residual Deviance: 248.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.87485553       0.01709282       0.06286355       0.62521258 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006044965      0.895329808      0.573788956 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.99195274 0.71684246 0.95120891 0.81475244 0.41493695 0.63502269
#>   [7] 0.61654520 0.68995800 0.84973511 0.57855679 0.79706176 0.52079227
#>  [13] 0.12030005 0.64428835 0.56896720 0.15541537 0.02789166 0.27954006
#>  [19] 0.65345301 0.05282323 0.65345301 0.53046721 0.38438758 0.27954006
#>  [25] 0.41493695 0.74401463 0.60712660 0.90106924 0.82352134 0.24573559
#>  [31] 0.85835675 0.49185889 0.46224812 0.36426517 0.88398273 0.90954170
#>  [37] 0.82352134 0.59758657 0.00792557 0.10799937 0.41493695 0.41493695
#>  [43] 0.94288232 0.77951914 0.93450746 0.19362040 0.95948688 0.18082015
#>  [49] 0.49185889 0.97589967 0.32303618 0.09521152 0.71684246 0.06636493
#>  [55] 0.76171728 0.34349476 0.58809328 0.61654520 0.32303618 0.39465262
#>  [61] 0.89253529 0.31195707 0.46224812 0.36426517 0.96769869 0.90954170
#>  [67] 0.12030005 0.34349476 0.68995800 0.20665715 0.80590004 0.49185889
#>  [73] 0.65345301 0.39465262 0.54978398 0.20665715 0.23263802 0.54978398
#>  [79] 0.02789166 0.65345301 0.77064155 0.27954006 0.00792557 0.86701007
#>  [85] 0.86701007 0.48197473 0.74401463 0.12030005 0.24573559 0.97589967
#>  [91] 0.73497523 0.53046721 0.41493695 0.90954170 0.77951914 0.08094006
#>  [97] 0.24573559 0.68995800 0.84100996 0.15541537 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    77     6   101   123    76     5   171   125   154   111    81   134   113 
#>  7.27 15.64  9.97 13.00 19.22 16.43 16.57 15.65 12.63 17.45 14.06 17.81 22.86 
#>    79   117    15    78    36   100    86 100.1   184   166    99  76.1    29 
#> 16.23 17.46 22.68 23.88 21.19 16.07 23.81 16.07 17.77 19.98 21.19 19.22 15.45 
#>   106   107    14   139   177    51   179   158    56   159  14.1    23    24 
#> 16.67 11.18 12.89 21.49 12.53 18.23 18.63 20.14 12.21 10.55 12.89 16.92 23.89 
#>    92  76.2  76.3   145    13    93    66   187   194  51.1    70    32   129 
#> 22.92 19.22 19.22 10.07 14.34 10.33 22.13  9.92 22.40 18.23  7.38 20.90 23.41 
#>   6.1   168   180   150    45 171.1  32.1    55    43    90 179.1 158.1    16 
#> 15.64 23.72 14.82 20.33 17.42 16.57 20.90 19.34 12.10 20.94 18.63 20.14  8.71 
#> 159.1 113.1 150.1 125.1   175   155  51.2 100.2    58   110 175.1   136 110.1 
#> 10.55 22.86 20.33 15.65 21.91 13.08 18.23 16.07 19.34 17.56 21.91 21.83 17.56 
#>  78.1 100.3    96  36.1  24.1    37  37.1   108  29.1 113.2 139.1  70.1   167 
#> 23.88 16.07 14.54 21.19 23.89 12.52 12.52 18.29 15.45 22.86 21.49  7.38 15.55 
#> 184.1  76.4 159.2  13.1   164 139.2 125.2   140  15.1   132     9   200    95 
#> 17.77 19.22 10.55 14.34 23.60 21.49 15.65 12.68 22.68 24.00 24.00 24.00 24.00 
#>    65    62    31     2    38    84    17   193   173   161   185    82    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1   196    27   109   144    11    80   160    71   122 161.1    75   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.1   104   2.1   147   121    64    87   143   138   102   126 126.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.1    94  71.1    74  74.1 147.1   165    22  74.2  95.2 185.1   178    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1   176  28.1 185.2   198 122.2  27.1 160.1 165.1   112 126.2    44    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.2  31.1 161.2 144.1   131   135   186    46    48    83 173.1   119 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1  80.2 193.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[62]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003358758               0.238431705               0.177637238 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.00626071              0.02235227             -0.43361146 
#>   grade_iii, Cure model 
#>              0.74286743 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 106   16.67      1  49        1         0
#> 56    12.21      1  60        0         0
#> 130   16.47      1  53        0         1
#> 10    10.53      1  34        0         0
#> 106.1 16.67      1  49        1         0
#> 63    22.77      1  31        1         0
#> 41    18.02      1  40        1         0
#> 97    19.14      1  65        0         1
#> 86    23.81      1  58        0         1
#> 5     16.43      1  51        0         1
#> 179   18.63      1  42        0         0
#> 59    10.16      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 51    18.23      1  83        0         1
#> 5.1   16.43      1  51        0         1
#> 97.1  19.14      1  65        0         1
#> 6     15.64      1  39        0         0
#> 16     8.71      1  71        0         1
#> 39    15.59      1  37        0         1
#> 197   21.60      1  69        1         0
#> 51.1  18.23      1  83        0         1
#> 170   19.54      1  43        0         1
#> 85    16.44      1  36        0         0
#> 39.1  15.59      1  37        0         1
#> 100   16.07      1  60        0         0
#> 100.1 16.07      1  60        0         0
#> 155   13.08      1  26        0         0
#> 4     17.64      1  NA        0         1
#> 43    12.10      1  61        0         1
#> 86.1  23.81      1  58        0         1
#> 153   21.33      1  55        1         0
#> 170.1 19.54      1  43        0         1
#> 171   16.57      1  41        0         1
#> 89    11.44      1  NA        0         0
#> 88    18.37      1  47        0         0
#> 93    10.33      1  52        0         1
#> 99    21.19      1  38        0         1
#> 175   21.91      1  43        0         0
#> 23    16.92      1  61        0         0
#> 184   17.77      1  38        0         0
#> 188   16.16      1  46        0         1
#> 188.1 16.16      1  46        0         1
#> 199   19.81      1  NA        0         1
#> 41.1  18.02      1  40        1         0
#> 127    3.53      1  62        0         1
#> 70     7.38      1  30        1         0
#> 6.1   15.64      1  39        0         0
#> 190   20.81      1  42        1         0
#> 51.2  18.23      1  83        0         1
#> 89.1  11.44      1  NA        0         0
#> 63.1  22.77      1  31        1         0
#> 50    10.02      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 92    22.92      1  47        0         1
#> 197.1 21.60      1  69        1         0
#> 43.1  12.10      1  61        0         1
#> 96    14.54      1  33        0         1
#> 49    12.19      1  48        1         0
#> 61    10.12      1  36        0         1
#> 153.1 21.33      1  55        1         0
#> 59.1  10.16      1  NA        1         0
#> 43.2  12.10      1  61        0         1
#> 10.1  10.53      1  34        0         0
#> 8     18.43      1  32        0         0
#> 78    23.88      1  43        0         0
#> 113   22.86      1  34        0         0
#> 5.2   16.43      1  51        0         1
#> 177   12.53      1  75        0         0
#> 24    23.89      1  38        0         0
#> 76    19.22      1  54        0         1
#> 136   21.83      1  43        0         1
#> 150   20.33      1  48        0         0
#> 77     7.27      1  67        0         1
#> 117   17.46      1  26        0         1
#> 77.1   7.27      1  67        0         1
#> 164   23.60      1  76        0         1
#> 101    9.97      1  10        0         1
#> 49.1  12.19      1  48        1         0
#> 189   10.51      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 5.3   16.43      1  51        0         1
#> 26    15.77      1  49        0         1
#> 56.1  12.21      1  60        0         0
#> 158   20.14      1  74        1         0
#> 37    12.52      1  57        1         0
#> 6.2   15.64      1  39        0         0
#> 89.2  11.44      1  NA        0         0
#> 100.2 16.07      1  60        0         0
#> 76.1  19.22      1  54        0         1
#> 86.2  23.81      1  58        0         1
#> 58    19.34      1  39        0         0
#> 167.1 15.55      1  56        1         0
#> 189.1 10.51      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 43.3  12.10      1  61        0         1
#> 99.1  21.19      1  38        0         1
#> 88.1  18.37      1  47        0         0
#> 155.1 13.08      1  26        0         0
#> 57    14.46      1  45        0         1
#> 55.1  19.34      1  69        0         1
#> 123   13.00      1  44        1         0
#> 180   14.82      1  37        0         0
#> 57.1  14.46      1  45        0         1
#> 37.1  12.52      1  57        1         0
#> 42    12.43      1  49        0         1
#> 107   11.18      1  54        1         0
#> 106.2 16.67      1  49        1         0
#> 192   16.44      1  31        1         0
#> 42.1  12.43      1  49        0         1
#> 79    16.23      1  54        1         0
#> 107.1 11.18      1  54        1         0
#> 183    9.24      1  67        1         0
#> 80    24.00      0  41        0         0
#> 74    24.00      0  43        0         1
#> 151   24.00      0  42        0         0
#> 165   24.00      0  47        0         0
#> 143   24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 116   24.00      0  58        0         1
#> 65    24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 62    24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 65.1  24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 1     24.00      0  23        1         0
#> 22    24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 11    24.00      0  42        0         1
#> 160   24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 147   24.00      0  76        1         0
#> 74.1  24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 38    24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 137   24.00      0  45        1         0
#> 161   24.00      0  45        0         0
#> 132   24.00      0  55        0         0
#> 21    24.00      0  47        0         0
#> 31    24.00      0  36        0         1
#> 147.1 24.00      0  76        1         0
#> 172   24.00      0  41        0         0
#> 73    24.00      0  NA        0         1
#> 185   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 141   24.00      0  44        1         0
#> 147.2 24.00      0  76        1         0
#> 31.1  24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 141.1 24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 73.1  24.00      0  NA        0         1
#> 53    24.00      0  32        0         1
#> 191   24.00      0  60        0         1
#> 3     24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 98.1  24.00      0  34        1         0
#> 7.1   24.00      0  37        1         0
#> 146.1 24.00      0  63        1         0
#> 162   24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 115   24.00      0  NA        1         0
#> 72.2  24.00      0  40        0         1
#> 12.1  24.00      0  63        0         0
#> 152   24.00      0  36        0         1
#> 72.3  24.00      0  40        0         1
#> 44    24.00      0  56        0         0
#> 176   24.00      0  43        0         1
#> 11.1  24.00      0  42        0         1
#> 161.1 24.00      0  45        0         0
#> 191.1 24.00      0  60        0         1
#> 7.2   24.00      0  37        1         0
#> 144   24.00      0  28        0         1
#> 161.2 24.00      0  45        0         0
#> 83    24.00      0   6        0         0
#> 182   24.00      0  35        0         0
#> 112   24.00      0  61        0         0
#> 53.1  24.00      0  32        0         1
#> 148   24.00      0  61        1         0
#> 67    24.00      0  25        0         0
#> 131   24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 103   24.00      0  56        1         0
#> 174.1 24.00      0  49        1         0
#> 102.1 24.00      0  49        0         0
#> 196   24.00      0  19        0         0
#> 151.1 24.00      0  42        0         0
#> 54.1  24.00      0  53        1         0
#> 121.1 24.00      0  57        1         0
#> 65.2  24.00      0  57        1         0
#> 174.2 24.00      0  49        1         0
#> 174.3 24.00      0  49        1         0
#> 191.2 24.00      0  60        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.01          NA        NA      NA
#> 2 age, Cure model           0.0224        NA        NA      NA
#> 3 grade_ii, Cure model     -0.434         NA        NA      NA
#> 4 grade_iii, Cure model     0.743         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00336        NA        NA      NA
#> 2 grade_ii, Survival model   0.238          NA        NA      NA
#> 3 grade_iii, Survival model  0.178          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.00626           0.02235          -0.43361           0.74287  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 242.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.00626071       0.02235227      -0.43361146       0.74286743 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003358758      0.238431705      0.177637238 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.429769109 0.792186462 0.468660202 0.890744150 0.429769109 0.091329979
#>   [7] 0.380425380 0.292949392 0.026639702 0.498069350 0.312156949 0.050472655
#>  [13] 0.351310269 0.498069350 0.292949392 0.604761261 0.950386188 0.634152882
#>  [19] 0.130329308 0.351310269 0.226552770 0.478535109 0.634152882 0.565645750
#>  [25] 0.565645750 0.713096041 0.831805901 0.026639702 0.149572365 0.226552770
#>  [31] 0.458785381 0.331780535 0.910570283 0.168683358 0.110275436 0.419818359
#>  [37] 0.399981213 0.546182546 0.546182546 0.380425380 0.990054536 0.960335426
#>  [43] 0.604761261 0.187686376 0.351310269 0.091329979 0.653868259 0.070791565
#>  [49] 0.130329308 0.831805901 0.683485501 0.812015565 0.920537580 0.149572365
#>  [55] 0.831805901 0.890744150 0.321953496 0.015022738 0.080989733 0.498069350
#>  [61] 0.742751060 0.004823159 0.273792341 0.120316230 0.207064164 0.970269475
#>  [67] 0.409911121 0.970269475 0.060566604 0.930498584 0.812015565 0.245573453
#>  [73] 0.498069350 0.594861061 0.792186462 0.216806227 0.752702050 0.604761261
#>  [79] 0.565645750 0.273792341 0.026639702 0.245573453 0.653868259 0.197389944
#>  [85] 0.831805901 0.168683358 0.331780535 0.713096041 0.693408004 0.245573453
#>  [91] 0.732829671 0.673553039 0.693408004 0.752702050 0.772447558 0.870965543
#>  [97] 0.429769109 0.478535109 0.772447558 0.536354435 0.870965543 0.940443094
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>   106    56   130    10 106.1    63    41    97    86     5   179   168    51 
#> 16.67 12.21 16.47 10.53 16.67 22.77 18.02 19.14 23.81 16.43 18.63 23.72 18.23 
#>   5.1  97.1     6    16    39   197  51.1   170    85  39.1   100 100.1   155 
#> 16.43 19.14 15.64  8.71 15.59 21.60 18.23 19.54 16.44 15.59 16.07 16.07 13.08 
#>    43  86.1   153 170.1   171    88    93    99   175    23   184   188 188.1 
#> 12.10 23.81 21.33 19.54 16.57 18.37 10.33 21.19 21.91 16.92 17.77 16.16 16.16 
#>  41.1   127    70   6.1   190  51.2  63.1   167    92 197.1  43.1    96    49 
#> 18.02  3.53  7.38 15.64 20.81 18.23 22.77 15.55 22.92 21.60 12.10 14.54 12.19 
#>    61 153.1  43.2  10.1     8    78   113   5.2   177    24    76   136   150 
#> 10.12 21.33 12.10 10.53 18.43 23.88 22.86 16.43 12.53 23.89 19.22 21.83 20.33 
#>    77   117  77.1   164   101  49.1    55   5.3    26  56.1   158    37   6.2 
#>  7.27 17.46  7.27 23.60  9.97 12.19 19.34 16.43 15.77 12.21 20.14 12.52 15.64 
#> 100.2  76.1  86.2    58 167.1   128  43.3  99.1  88.1 155.1    57  55.1   123 
#> 16.07 19.22 23.81 19.34 15.55 20.35 12.10 21.19 18.37 13.08 14.46 19.34 13.00 
#>   180  57.1  37.1    42   107 106.2   192  42.1    79 107.1   183    80    74 
#> 14.82 14.46 12.52 12.43 11.18 16.67 16.44 12.43 16.23 11.18  9.24 24.00 24.00 
#>   151   165   143   121   186    72   116    65     9   138    98    62     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1   174     1    22    87    11   160   102   147  74.1   146    38    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   161   132    21    31 147.1   172   185   119   141 147.2  31.1    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1 141.1    64    53   191     3    27  98.1   7.1 146.1   162    17    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.2  12.1   152  72.3    44   176  11.1 161.1 191.1   7.2   144 161.2    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182   112  53.1   148    67   131   193   103 174.1 102.1   196 151.1  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.1  65.2 174.2 174.3 191.2 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[63]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004558345               1.005967513               0.395058144 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.35491228             -0.01060688              0.01609716 
#>   grade_iii, Cure model 
#>              1.29626778 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 106   16.67      1  49        1         0
#> 167   15.55      1  56        1         0
#> 130   16.47      1  53        0         1
#> 187    9.92      1  39        1         0
#> 127    3.53      1  62        0         1
#> 179   18.63      1  42        0         0
#> 32    20.90      1  37        1         0
#> 139   21.49      1  63        1         0
#> 158   20.14      1  74        1         0
#> 127.1  3.53      1  62        0         1
#> 187.1  9.92      1  39        1         0
#> 14    12.89      1  21        0         0
#> 8     18.43      1  32        0         0
#> 169   22.41      1  46        0         0
#> 66    22.13      1  53        0         0
#> 26    15.77      1  49        0         1
#> 123   13.00      1  44        1         0
#> 175   21.91      1  43        0         0
#> 168   23.72      1  70        0         0
#> 13    14.34      1  54        0         1
#> 55    19.34      1  69        0         1
#> 123.1 13.00      1  44        1         0
#> 125   15.65      1  67        1         0
#> 133   14.65      1  57        0         0
#> 59    10.16      1  NA        1         0
#> 167.1 15.55      1  56        1         0
#> 60    13.15      1  38        1         0
#> 183    9.24      1  67        1         0
#> 166   19.98      1  48        0         0
#> 184   17.77      1  38        0         0
#> 169.1 22.41      1  46        0         0
#> 8.1   18.43      1  32        0         0
#> 59.1  10.16      1  NA        1         0
#> 127.2  3.53      1  62        0         1
#> 170   19.54      1  43        0         1
#> 133.1 14.65      1  57        0         0
#> 81    14.06      1  34        0         0
#> 61    10.12      1  36        0         1
#> 18    15.21      1  49        1         0
#> 159   10.55      1  50        0         1
#> 100   16.07      1  60        0         0
#> 5     16.43      1  51        0         1
#> 70     7.38      1  30        1         0
#> 99    21.19      1  38        0         1
#> 194   22.40      1  38        0         1
#> 130.1 16.47      1  53        0         1
#> 155   13.08      1  26        0         0
#> 14.1  12.89      1  21        0         0
#> 111   17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 99.1  21.19      1  38        0         1
#> 88    18.37      1  47        0         0
#> 61.1  10.12      1  36        0         1
#> 88.1  18.37      1  47        0         0
#> 97    19.14      1  65        0         1
#> 93    10.33      1  52        0         1
#> 192   16.44      1  31        1         0
#> 117   17.46      1  26        0         1
#> 66.1  22.13      1  53        0         0
#> 107   11.18      1  54        1         0
#> 70.1   7.38      1  30        1         0
#> 69    23.23      1  25        0         1
#> 50    10.02      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 26.1  15.77      1  49        0         1
#> 16     8.71      1  71        0         1
#> 145   10.07      1  65        1         0
#> 89    11.44      1  NA        0         0
#> 40    18.00      1  28        1         0
#> 128   20.35      1  35        0         1
#> 23    16.92      1  61        0         0
#> 179.1 18.63      1  42        0         0
#> 169.2 22.41      1  46        0         0
#> 43    12.10      1  61        0         1
#> 113   22.86      1  34        0         0
#> 127.3  3.53      1  62        0         1
#> 25     6.32      1  34        1         0
#> 23.1  16.92      1  61        0         0
#> 25.1   6.32      1  34        1         0
#> 145.1 10.07      1  65        1         0
#> 37    12.52      1  57        1         0
#> 89.1  11.44      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 14.2  12.89      1  21        0         0
#> 150   20.33      1  48        0         0
#> 111.1 17.45      1  47        0         1
#> 66.2  22.13      1  53        0         0
#> 168.1 23.72      1  70        0         0
#> 10    10.53      1  34        0         0
#> 49    12.19      1  48        1         0
#> 56    12.21      1  60        0         0
#> 41    18.02      1  40        1         0
#> 61.2  10.12      1  36        0         1
#> 50.1  10.02      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 30    17.43      1  78        0         0
#> 13.1  14.34      1  54        0         1
#> 149    8.37      1  33        1         0
#> 130.2 16.47      1  53        0         1
#> 114   13.68      1  NA        0         0
#> 86    23.81      1  58        0         1
#> 60.1  13.15      1  38        1         0
#> 130.3 16.47      1  53        0         1
#> 177   12.53      1  75        0         0
#> 78    23.88      1  43        0         0
#> 99.2  21.19      1  38        0         1
#> 139.1 21.49      1  63        1         0
#> 4     17.64      1  NA        0         1
#> 89.2  11.44      1  NA        0         0
#> 41.1  18.02      1  40        1         0
#> 6     15.64      1  39        0         0
#> 117.1 17.46      1  26        0         1
#> 141   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 131.1 24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 80    24.00      0  41        0         0
#> 161   24.00      0  45        0         0
#> 75    24.00      0  21        1         0
#> 82    24.00      0  34        0         0
#> 83    24.00      0   6        0         0
#> 71    24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 135   24.00      0  58        1         0
#> 1     24.00      0  23        1         0
#> 148   24.00      0  61        1         0
#> 120   24.00      0  68        0         1
#> 19    24.00      0  57        0         1
#> 119   24.00      0  17        0         0
#> 121   24.00      0  57        1         0
#> 163   24.00      0  66        0         0
#> 141.1 24.00      0  44        1         0
#> 80.1  24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 34    24.00      0  36        0         0
#> 162   24.00      0  51        0         0
#> 161.1 24.00      0  45        0         0
#> 186   24.00      0  45        1         0
#> 163.1 24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 135.1 24.00      0  58        1         0
#> 46    24.00      0  71        0         0
#> 163.2 24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 115   24.00      0  NA        1         0
#> 148.1 24.00      0  61        1         0
#> 3     24.00      0  31        1         0
#> 185.1 24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 9     24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 131.2 24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 11    24.00      0  42        0         1
#> 109   24.00      0  48        0         0
#> 46.1  24.00      0  71        0         0
#> 82.1  24.00      0  34        0         0
#> 1.1   24.00      0  23        1         0
#> 65    24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 174   24.00      0  49        1         0
#> 163.3 24.00      0  66        0         0
#> 20.1  24.00      0  46        1         0
#> 120.1 24.00      0  68        0         1
#> 141.2 24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 109.1 24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 54    24.00      0  53        1         0
#> 75.1  24.00      0  21        1         0
#> 44    24.00      0  56        0         0
#> 17    24.00      0  38        0         1
#> 62    24.00      0  71        0         0
#> 35    24.00      0  51        0         0
#> 11.1  24.00      0  42        0         1
#> 143   24.00      0  51        0         0
#> 121.1 24.00      0  57        1         0
#> 165   24.00      0  47        0         0
#> 35.1  24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 186.1 24.00      0  45        1         0
#> 54.1  24.00      0  53        1         0
#> 95    24.00      0  68        0         1
#> 186.2 24.00      0  45        1         0
#> 44.1  24.00      0  56        0         0
#> 22    24.00      0  52        1         0
#> 104   24.00      0  50        1         0
#> 31.1  24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 174.1 24.00      0  49        1         0
#> 20.2  24.00      0  46        1         0
#> 109.2 24.00      0  48        0         0
#> 162.1 24.00      0  51        0         0
#> 54.2  24.00      0  53        1         0
#> 44.2  24.00      0  56        0         0
#> 118   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.355         NA        NA      NA
#> 2 age, Cure model          -0.0106        NA        NA      NA
#> 3 grade_ii, Cure model      0.0161        NA        NA      NA
#> 4 grade_iii, Cure model     1.30          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00456        NA        NA      NA
#> 2 grade_ii, Survival model   1.01           NA        NA      NA
#> 3 grade_iii, Survival model  0.395          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.35491          -0.01061           0.01610           1.29627  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 247 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.35491228      -0.01060688       0.01609716       1.29626778 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004558345      1.005967513      0.395058144 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.534148359 0.646186737 0.543855808 0.904586416 0.971595153 0.349775535
#>   [7] 0.262150024 0.203724575 0.295723270 0.971595153 0.904586416 0.767171380
#>  [13] 0.371164553 0.098408845 0.149863845 0.609307090 0.750680910 0.189336810
#>  [19] 0.032361006 0.699019705 0.328246703 0.750680910 0.627805236 0.672674638
#>  [25] 0.646186737 0.725228307 0.919861089 0.306541251 0.455779833 0.098408845
#>  [31] 0.371164553 0.971595153 0.317434814 0.672674638 0.716446061 0.865224056
#>  [37] 0.663898701 0.841066972 0.599933034 0.590593899 0.942584087 0.228011994
#>  [43] 0.136219129 0.543855808 0.742156873 0.767171380 0.485294171 0.414511325
#>  [49] 0.228011994 0.392722487 0.865224056 0.392722487 0.339028842 0.857176674
#>  [55] 0.581228622 0.465777434 0.149863845 0.833003569 0.942584087 0.058123279
#>  [61] 0.071775624 0.609307090 0.927466048 0.888971848 0.445816996 0.273393313
#>  [67] 0.514489652 0.349775535 0.098408845 0.824850362 0.084940542 0.971595153
#>  [73] 0.957237087 0.514489652 0.957237087 0.888971848 0.800183125 0.690216085
#>  [79] 0.767171380 0.284515219 0.485294171 0.149863845 0.032361006 0.849116338
#>  [85] 0.816687141 0.808425055 0.425481900 0.865224056 0.504656701 0.699019705
#>  [91] 0.935066394 0.543855808 0.019436769 0.725228307 0.543855808 0.791845977
#>  [97] 0.005758223 0.228011994 0.203724575 0.425481900 0.636985187 0.465777434
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   106   167   130   187   127   179    32   139   158 127.1 187.1    14     8 
#> 16.67 15.55 16.47  9.92  3.53 18.63 20.90 21.49 20.14  3.53  9.92 12.89 18.43 
#>   169    66    26   123   175   168    13    55 123.1   125   133 167.1    60 
#> 22.41 22.13 15.77 13.00 21.91 23.72 14.34 19.34 13.00 15.65 14.65 15.55 13.15 
#>   183   166   184 169.1   8.1 127.2   170 133.1    81    61    18   159   100 
#>  9.24 19.98 17.77 22.41 18.43  3.53 19.54 14.65 14.06 10.12 15.21 10.55 16.07 
#>     5    70    99   194 130.1   155  14.1   111   108  99.1    88  61.1  88.1 
#> 16.43  7.38 21.19 22.40 16.47 13.08 12.89 17.45 18.29 21.19 18.37 10.12 18.37 
#>    97    93   192   117  66.1   107  70.1    69    92  26.1    16   145    40 
#> 19.14 10.33 16.44 17.46 22.13 11.18  7.38 23.23 22.92 15.77  8.71 10.07 18.00 
#>   128    23 179.1 169.2    43   113 127.3    25  23.1  25.1 145.1    37    57 
#> 20.35 16.92 18.63 22.41 12.10 22.86  3.53  6.32 16.92  6.32 10.07 12.52 14.46 
#>  14.2   150 111.1  66.2 168.1    10    49    56    41  61.2    30  13.1   149 
#> 12.89 20.33 17.45 22.13 23.72 10.53 12.19 12.21 18.02 10.12 17.43 14.34  8.37 
#> 130.2    86  60.1 130.3   177    78  99.2 139.1  41.1     6 117.1   141   131 
#> 16.47 23.81 13.15 16.47 12.53 23.88 21.19 21.49 18.02 15.64 17.46 24.00 24.00 
#>   122   146    64 131.1   132    80   161    75    82    83    71   200   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   148   120    19   119   121   163 141.1  80.1   196    34   162 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186 163.1   185 135.1    46 163.2   191 148.1     3 185.1    20     9   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.2   116    11   109  46.1  82.1   1.1    65    94   174 163.3  20.1 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.2    28 109.1    67    54  75.1    44    17    62    35  11.1   143 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165  35.1 143.1    31 186.1  54.1    95 186.2  44.1    22   104  31.1   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1  20.2 109.2 162.1  54.2  44.2   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[64]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002867337               0.569097966               0.532655203 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.15346854              0.00336150              0.03357578 
#>   grade_iii, Cure model 
#>              0.42981508 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 10    10.53      1  34        0         0
#> 60    13.15      1  38        1         0
#> 42    12.43      1  49        0         1
#> 140   12.68      1  59        1         0
#> 111   17.45      1  47        0         1
#> 139   21.49      1  63        1         0
#> 36    21.19      1  48        0         1
#> 168   23.72      1  70        0         0
#> 43    12.10      1  61        0         1
#> 58    19.34      1  39        0         0
#> 192   16.44      1  31        1         0
#> 99    21.19      1  38        0         1
#> 85    16.44      1  36        0         0
#> 40    18.00      1  28        1         0
#> 23    16.92      1  61        0         0
#> 52    10.42      1  52        0         1
#> 86    23.81      1  58        0         1
#> 89    11.44      1  NA        0         0
#> 170   19.54      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 99.1  21.19      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 66    22.13      1  53        0         0
#> 127    3.53      1  62        0         1
#> 61    10.12      1  36        0         1
#> 140.1 12.68      1  59        1         0
#> 187    9.92      1  39        1         0
#> 128   20.35      1  35        0         1
#> 13    14.34      1  54        0         1
#> 125   15.65      1  67        1         0
#> 51    18.23      1  83        0         1
#> 197   21.60      1  69        1         0
#> 16     8.71      1  71        0         1
#> 58.1  19.34      1  39        0         0
#> 14    12.89      1  21        0         0
#> 66.1  22.13      1  53        0         0
#> 187.1  9.92      1  39        1         0
#> 40.1  18.00      1  28        1         0
#> 188   16.16      1  46        0         1
#> 149    8.37      1  33        1         0
#> 105   19.75      1  60        0         0
#> 159   10.55      1  50        0         1
#> 181   16.46      1  45        0         1
#> 8     18.43      1  32        0         0
#> 8.1   18.43      1  32        0         0
#> 13.1  14.34      1  54        0         1
#> 59    10.16      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 184   17.77      1  38        0         0
#> 177   12.53      1  75        0         0
#> 113   22.86      1  34        0         0
#> 100.1 16.07      1  60        0         0
#> 68    20.62      1  44        0         0
#> 18    15.21      1  49        1         0
#> 129   23.41      1  53        1         0
#> 39    15.59      1  37        0         1
#> 123   13.00      1  44        1         0
#> 52.1  10.42      1  52        0         1
#> 30    17.43      1  78        0         0
#> 175   21.91      1  43        0         0
#> 14.1  12.89      1  21        0         0
#> 105.1 19.75      1  60        0         0
#> 124    9.73      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 155   13.08      1  26        0         0
#> 77     7.27      1  67        0         1
#> 39.1  15.59      1  37        0         1
#> 26    15.77      1  49        0         1
#> 166   19.98      1  48        0         0
#> 43.1  12.10      1  61        0         1
#> 23.1  16.92      1  61        0         0
#> 114   13.68      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 106   16.67      1  49        1         0
#> 180   14.82      1  37        0         0
#> 85.1  16.44      1  36        0         0
#> 171   16.57      1  41        0         1
#> 124.1  9.73      1  NA        1         0
#> 113.1 22.86      1  34        0         0
#> 124.2  9.73      1  NA        1         0
#> 199.1 19.81      1  NA        0         1
#> 99.2  21.19      1  38        0         1
#> 194   22.40      1  38        0         1
#> 108   18.29      1  39        0         1
#> 139.1 21.49      1  63        1         0
#> 24.1  23.89      1  38        0         0
#> 101    9.97      1  10        0         1
#> 128.1 20.35      1  35        0         1
#> 57    14.46      1  45        0         1
#> 157   15.10      1  47        0         0
#> 167   15.55      1  56        1         0
#> 139.2 21.49      1  63        1         0
#> 114.1 13.68      1  NA        0         0
#> 13.2  14.34      1  54        0         1
#> 188.1 16.16      1  46        0         1
#> 8.2   18.43      1  32        0         0
#> 134   17.81      1  47        1         0
#> 190   20.81      1  42        1         0
#> 66.2  22.13      1  53        0         0
#> 180.1 14.82      1  37        0         0
#> 154   12.63      1  20        1         0
#> 5     16.43      1  51        0         1
#> 175.1 21.91      1  43        0         0
#> 130   16.47      1  53        0         1
#> 136   21.83      1  43        0         1
#> 183    9.24      1  67        1         0
#> 150   20.33      1  48        0         0
#> 133   14.65      1  57        0         0
#> 133.1 14.65      1  57        0         0
#> 184.1 17.77      1  38        0         0
#> 154.1 12.63      1  20        1         0
#> 116   24.00      0  58        0         1
#> 84    24.00      0  39        0         1
#> 94    24.00      0  51        0         1
#> 22    24.00      0  52        1         0
#> 74    24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 162   24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 148   24.00      0  61        1         0
#> 53    24.00      0  32        0         1
#> 148.1 24.00      0  61        1         0
#> 21    24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 109   24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 196   24.00      0  19        0         0
#> 67.1  24.00      0  25        0         0
#> 120   24.00      0  68        0         1
#> 65    24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 165   24.00      0  47        0         0
#> 173   24.00      0  19        0         1
#> 31    24.00      0  36        0         1
#> 172   24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 142   24.00      0  53        0         0
#> 122   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 120.1 24.00      0  68        0         1
#> 172.1 24.00      0  41        0         0
#> 22.1  24.00      0  52        1         0
#> 28    24.00      0  67        1         0
#> 2     24.00      0   9        0         0
#> 196.1 24.00      0  19        0         0
#> 109.1 24.00      0  48        0         0
#> 165.1 24.00      0  47        0         0
#> 165.2 24.00      0  47        0         0
#> 34    24.00      0  36        0         0
#> 47.1  24.00      0  38        0         1
#> 84.1  24.00      0  39        0         1
#> 44    24.00      0  56        0         0
#> 162.1 24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 35    24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 34.1  24.00      0  36        0         0
#> 135.1 24.00      0  58        1         0
#> 95    24.00      0  68        0         1
#> 156   24.00      0  50        1         0
#> 95.1  24.00      0  68        0         1
#> 160   24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 80    24.00      0  41        0         0
#> 62    24.00      0  71        0         0
#> 185   24.00      0  44        1         0
#> 33.1  24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 64    24.00      0  43        0         0
#> 21.1  24.00      0  47        0         0
#> 176   24.00      0  43        0         1
#> 1.1   24.00      0  23        1         0
#> 131.1 24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 7.1   24.00      0  37        1         0
#> 2.1   24.00      0   9        0         0
#> 17.1  24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 47.2  24.00      0  38        0         1
#> 176.1 24.00      0  43        0         1
#> 2.2   24.00      0   9        0         0
#> 160.1 24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 17.2  24.00      0  38        0         1
#> 146.1 24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 34.2  24.00      0  36        0         0
#> 193   24.00      0  45        0         1
#> 173.1 24.00      0  19        0         1
#> 112   24.00      0  61        0         0
#> 191   24.00      0  60        0         1
#> 22.2  24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.153          NA        NA      NA
#> 2 age, Cure model          0.00336        NA        NA      NA
#> 3 grade_ii, Cure model     0.0336         NA        NA      NA
#> 4 grade_iii, Cure model    0.430          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00287        NA        NA      NA
#> 2 grade_ii, Survival model   0.569          NA        NA      NA
#> 3 grade_iii, Survival model  0.533          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.153469          0.003361          0.033576          0.429815  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 257.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.15346854       0.00336150       0.03357578       0.42981508 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002867337      0.569097966      0.532655203 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.90456246 0.78792421 0.87181806 0.83031292 0.49953966 0.21575480
#>   [7] 0.24951142 0.05590748 0.88008197 0.38131715 0.57573042 0.24951142
#>  [13] 0.57573042 0.45147016 0.51873484 0.91273078 0.04104521 0.37119443
#>  [19] 0.24951142 0.69285952 0.12556319 0.99220655 0.92885997 0.83031292
#>  [25] 0.94493916 0.31074123 0.76249231 0.65745939 0.44145093 0.20285015
#>  [31] 0.96865869 0.38131715 0.81343549 0.12556319 0.94493916 0.45147016
#>  [37] 0.61232147 0.97654204 0.35094968 0.89640099 0.56638954 0.40140542
#>  [43] 0.40140542 0.76249231 0.63032644 0.48038672 0.86351638 0.08561296
#>  [49] 0.63032644 0.30026300 0.70161246 0.07154735 0.66644903 0.80496287
#>  [55] 0.91273078 0.50911912 0.16302311 0.81343549 0.35094968 0.79644027
#>  [61] 0.98438694 0.66644903 0.64841310 0.34077130 0.88008197 0.51873484
#>  [67] 0.01345778 0.53790106 0.71901570 0.57573042 0.54747897 0.08561296
#>  [73] 0.24951142 0.11223788 0.43135317 0.21575480 0.01345778 0.93692217
#>  [79] 0.31074123 0.75378415 0.71030736 0.68405613 0.21575480 0.76249231
#>  [85] 0.61232147 0.40140542 0.47075295 0.28982797 0.12556319 0.71901570
#>  [91] 0.84702335 0.60311742 0.16302311 0.55697143 0.18956602 0.96075027
#>  [97] 0.33063188 0.73636898 0.73636898 0.48038672 0.84702335 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    10    60    42   140   111   139    36   168    43    58   192    99    85 
#> 10.53 13.15 12.43 12.68 17.45 21.49 21.19 23.72 12.10 19.34 16.44 21.19 16.44 
#>    40    23    52    86   170  99.1    29    66   127    61 140.1   187   128 
#> 18.00 16.92 10.42 23.81 19.54 21.19 15.45 22.13  3.53 10.12 12.68  9.92 20.35 
#>    13   125    51   197    16  58.1    14  66.1 187.1  40.1   188   149   105 
#> 14.34 15.65 18.23 21.60  8.71 19.34 12.89 22.13  9.92 18.00 16.16  8.37 19.75 
#>   159   181     8   8.1  13.1   100   184   177   113 100.1    68    18   129 
#> 10.55 16.46 18.43 18.43 14.34 16.07 17.77 12.53 22.86 16.07 20.62 15.21 23.41 
#>    39   123  52.1    30   175  14.1 105.1   155    77  39.1    26   166  43.1 
#> 15.59 13.00 10.42 17.43 21.91 12.89 19.75 13.08  7.27 15.59 15.77 19.98 12.10 
#>  23.1    24   106   180  85.1   171 113.1  99.2   194   108 139.1  24.1   101 
#> 16.92 23.89 16.67 14.82 16.44 16.57 22.86 21.19 22.40 18.29 21.49 23.89  9.97 
#> 128.1    57   157   167 139.2  13.2 188.1   8.2   134   190  66.2 180.1   154 
#> 20.35 14.46 15.10 15.55 21.49 14.34 16.16 18.43 17.81 20.81 22.13 14.82 12.63 
#>     5 175.1   130   136   183   150   133 133.1 184.1 154.1   116    84    94 
#> 16.43 21.91 16.47 21.83  9.24 20.33 14.65 14.65 17.77 12.63 24.00 24.00 24.00 
#>    22    74    17   162  94.1   148    53 148.1    21    47   109    67   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1   120    65   135   165   173    31   172   131    33   142   122   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126   163   178 120.1 172.1  22.1    28     2 196.1 109.1 165.1 165.2    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1  84.1    44 162.1    46    35 163.1  34.1 135.1    95   156  95.1   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   121    80    62   185  33.1    38     1    64  21.1   176   1.1 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7   7.1   2.1  17.1   146  47.2 176.1   2.2 160.1  44.1  17.2 146.1    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.2   193 173.1   112   191  22.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[65]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00292058                0.54430474                0.28486045 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.55424476              0.01157068             -0.36123798 
#>   grade_iii, Cure model 
#>              1.14629107 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 51    18.23      1  83        0         1
#> 24    23.89      1  38        0         0
#> 157   15.10      1  47        0         0
#> 159   10.55      1  50        0         1
#> 58    19.34      1  39        0         0
#> 55    19.34      1  69        0         1
#> 159.1 10.55      1  50        0         1
#> 155   13.08      1  26        0         0
#> 69    23.23      1  25        0         1
#> 61    10.12      1  36        0         1
#> 189   10.51      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 96    14.54      1  33        0         1
#> 86    23.81      1  58        0         1
#> 190   20.81      1  42        1         0
#> 190.1 20.81      1  42        1         0
#> 77     7.27      1  67        0         1
#> 155.1 13.08      1  26        0         0
#> 4     17.64      1  NA        0         1
#> 88    18.37      1  47        0         0
#> 134   17.81      1  47        1         0
#> 96.1  14.54      1  33        0         1
#> 70     7.38      1  30        1         0
#> 177   12.53      1  75        0         0
#> 167   15.55      1  56        1         0
#> 169   22.41      1  46        0         0
#> 197   21.60      1  69        1         0
#> 63    22.77      1  31        1         0
#> 117   17.46      1  26        0         1
#> 88.1  18.37      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 92    22.92      1  47        0         1
#> 123   13.00      1  44        1         0
#> 5     16.43      1  51        0         1
#> 125   15.65      1  67        1         0
#> 177.1 12.53      1  75        0         0
#> 181   16.46      1  45        0         1
#> 36    21.19      1  48        0         1
#> 108   18.29      1  39        0         1
#> 134.1 17.81      1  47        1         0
#> 92.1  22.92      1  47        0         1
#> 78    23.88      1  43        0         0
#> 101    9.97      1  10        0         1
#> 58.1  19.34      1  39        0         0
#> 81    14.06      1  34        0         0
#> 197.1 21.60      1  69        1         0
#> 197.2 21.60      1  69        1         0
#> 43    12.10      1  61        0         1
#> 6     15.64      1  39        0         0
#> 167.1 15.55      1  56        1         0
#> 108.1 18.29      1  39        0         1
#> 155.2 13.08      1  26        0         0
#> 184   17.77      1  38        0         0
#> 164   23.60      1  76        0         1
#> 36.1  21.19      1  48        0         1
#> 16     8.71      1  71        0         1
#> 29    15.45      1  68        1         0
#> 15    22.68      1  48        0         0
#> 61.1  10.12      1  36        0         1
#> 6.1   15.64      1  39        0         0
#> 100   16.07      1  60        0         0
#> 117.1 17.46      1  26        0         1
#> 5.1   16.43      1  51        0         1
#> 113   22.86      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 6.2   15.64      1  39        0         0
#> 59    10.16      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 13    14.34      1  54        0         1
#> 5.2   16.43      1  51        0         1
#> 36.2  21.19      1  48        0         1
#> 168   23.72      1  70        0         0
#> 136   21.83      1  43        0         1
#> 51.1  18.23      1  83        0         1
#> 111   17.45      1  47        0         1
#> 145   10.07      1  65        1         0
#> 88.2  18.37      1  47        0         0
#> 188   16.16      1  46        0         1
#> 13.1  14.34      1  54        0         1
#> 32    20.90      1  37        1         0
#> 56    12.21      1  60        0         0
#> 145.1 10.07      1  65        1         0
#> 58.2  19.34      1  39        0         0
#> 140   12.68      1  59        1         0
#> 88.3  18.37      1  47        0         0
#> 145.2 10.07      1  65        1         0
#> 194   22.40      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 49    12.19      1  48        1         0
#> 6.3   15.64      1  39        0         0
#> 157.1 15.10      1  47        0         0
#> 24.1  23.89      1  38        0         0
#> 79    16.23      1  54        1         0
#> 183    9.24      1  67        1         0
#> 180   14.82      1  37        0         0
#> 50.1  10.02      1  NA        1         0
#> 58.3  19.34      1  39        0         0
#> 154   12.63      1  20        1         0
#> 45    17.42      1  54        0         1
#> 168.1 23.72      1  70        0         0
#> 187    9.92      1  39        1         0
#> 153   21.33      1  55        1         0
#> 133   14.65      1  57        0         0
#> 101.1  9.97      1  10        0         1
#> 23    16.92      1  61        0         0
#> 125.1 15.65      1  67        1         0
#> 110   17.56      1  65        0         1
#> 181.1 16.46      1  45        0         1
#> 181.2 16.46      1  45        0         1
#> 194.1 22.40      1  38        0         1
#> 46    24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 151   24.00      0  42        0         0
#> 48    24.00      0  31        1         0
#> 200.1 24.00      0  64        0         0
#> 48.1  24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 118   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 65    24.00      0  57        1         0
#> 64    24.00      0  43        0         0
#> 143   24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 87.1  24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 174   24.00      0  49        1         0
#> 156   24.00      0  50        1         0
#> 163   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 119   24.00      0  17        0         0
#> 11    24.00      0  42        0         1
#> 137.1 24.00      0  45        1         0
#> 7     24.00      0  37        1         0
#> 146   24.00      0  63        1         0
#> 138   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 151.1 24.00      0  42        0         0
#> 146.1 24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 46.1  24.00      0  71        0         0
#> 141   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 116   24.00      0  58        0         1
#> 44    24.00      0  56        0         0
#> 28    24.00      0  67        1         0
#> 65.1  24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 104   24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 54    24.00      0  53        1         0
#> 17    24.00      0  38        0         1
#> 1     24.00      0  23        1         0
#> 112.1 24.00      0  61        0         0
#> 152   24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 104.1 24.00      0  50        1         0
#> 98.1  24.00      0  34        1         0
#> 72    24.00      0  40        0         1
#> 144   24.00      0  28        0         1
#> 31    24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 115   24.00      0  NA        1         0
#> 11.1  24.00      0  42        0         1
#> 54.1  24.00      0  53        1         0
#> 1.1   24.00      0  23        1         0
#> 65.2  24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 34    24.00      0  36        0         0
#> 148   24.00      0  61        1         0
#> 142   24.00      0  53        0         0
#> 34.1  24.00      0  36        0         0
#> 35    24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 54.2  24.00      0  53        1         0
#> 137.2 24.00      0  45        1         0
#> 44.1  24.00      0  56        0         0
#> 48.2  24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 193   24.00      0  45        0         1
#> 165   24.00      0  47        0         0
#> 95.1  24.00      0  68        0         1
#> 103   24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 185.1 24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 161.1 24.00      0  45        0         0
#> 82.1  24.00      0  34        0         0
#> 27.1  24.00      0  63        1         0
#> 112.2 24.00      0  61        0         0
#> 34.2  24.00      0  36        0         0
#> 162   24.00      0  51        0         0
#> 46.2  24.00      0  71        0         0
#> 83    24.00      0   6        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.554         NA        NA      NA
#> 2 age, Cure model           0.0116        NA        NA      NA
#> 3 grade_ii, Cure model     -0.361         NA        NA      NA
#> 4 grade_iii, Cure model     1.15          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00292        NA        NA      NA
#> 2 grade_ii, Survival model   0.544          NA        NA      NA
#> 3 grade_iii, Survival model  0.285          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.55424           0.01157          -0.36124           1.14629  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 247.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.55424476       0.01157068      -0.36123798       1.14629107 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00292058       0.54430474       0.28486045 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.429529782 0.009467194 0.699820466 0.873802469 0.328517416 0.328517416
#>   [7] 0.873802469 0.778542474 0.092371965 0.899502040 0.890915714 0.734932311
#>  [13] 0.042075863 0.290461663 0.290461663 0.991716372 0.778542474 0.373674533
#>  [19] 0.448296796 0.734932311 0.983426285 0.830629028 0.673535418 0.164064024
#>  [25] 0.209896710 0.140574154 0.485263500 0.373674533 0.105137308 0.804586808
#>  [31] 0.567202919 0.620903822 0.830629028 0.540265639 0.250942896 0.410727278
#>  [37] 0.448296796 0.105137308 0.028939499 0.941654161 0.328517416 0.769784078
#>  [43] 0.209896710 0.209896710 0.865178262 0.638541527 0.673535418 0.410727278
#>  [49] 0.778542474 0.466677426 0.079180204 0.250942896 0.975095549 0.691052098
#>  [55] 0.152259642 0.899502040 0.638541527 0.611914170 0.485263500 0.567202919
#>  [61] 0.128303935 0.309454326 0.638541527 0.319041161 0.752385545 0.567202919
#>  [67] 0.250942896 0.054763742 0.198441838 0.429529782 0.503493447 0.916529048
#>  [73] 0.373674533 0.602945698 0.752385545 0.280456152 0.847866912 0.916529048
#>  [79] 0.328517416 0.813314561 0.373674533 0.916529048 0.175976481 0.512665809
#>  [85] 0.856544365 0.638541527 0.699820466 0.009467194 0.593955509 0.966759074
#>  [91] 0.717303200 0.328517416 0.822000315 0.521871728 0.054763742 0.958392507
#>  [97] 0.240494310 0.726109550 0.941654161 0.531055686 0.620903822 0.475979503
#> [103] 0.540265639 0.540265639 0.175976481 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    51    24   157   159    58    55 159.1   155    69    61    93    96    86 
#> 18.23 23.89 15.10 10.55 19.34 19.34 10.55 13.08 23.23 10.12 10.33 14.54 23.81 
#>   190 190.1    77 155.1    88   134  96.1    70   177   167   169   197    63 
#> 20.81 20.81  7.27 13.08 18.37 17.81 14.54  7.38 12.53 15.55 22.41 21.60 22.77 
#>   117  88.1    92   123     5   125 177.1   181    36   108 134.1  92.1    78 
#> 17.46 18.37 22.92 13.00 16.43 15.65 12.53 16.46 21.19 18.29 17.81 22.92 23.88 
#>   101  58.1    81 197.1 197.2    43     6 167.1 108.1 155.2   184   164  36.1 
#>  9.97 19.34 14.06 21.60 21.60 12.10 15.64 15.55 18.29 13.08 17.77 23.60 21.19 
#>    16    29    15  61.1   6.1   100 117.1   5.1   113   128   6.2   158    13 
#>  8.71 15.45 22.68 10.12 15.64 16.07 17.46 16.43 22.86 20.35 15.64 20.14 14.34 
#>   5.2  36.2   168   136  51.1   111   145  88.2   188  13.1    32    56 145.1 
#> 16.43 21.19 23.72 21.83 18.23 17.45 10.07 18.37 16.16 14.34 20.90 12.21 10.07 
#>  58.2   140  88.3 145.2   194    30    49   6.3 157.1  24.1    79   183   180 
#> 19.34 12.68 18.37 10.07 22.40 17.43 12.19 15.64 15.10 23.89 16.23  9.24 14.82 
#>  58.3   154    45 168.1   187   153   133 101.1    23 125.1   110 181.1 181.2 
#> 19.34 12.63 17.42 23.72  9.92 21.33 14.65  9.97 16.92 15.65 17.56 16.46 16.46 
#> 194.1    46   200   151    48 200.1  48.1    82   118   112    65    64   143 
#> 22.40 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87  87.1    62   174   156   163   137   119    11 137.1     7   146   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98 151.1 146.1   120  46.1   141    20   116    44    28  65.1   173   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186    54    17     1 112.1   152    75 104.1  98.1    72   144    31   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1  54.1   1.1  65.2   178    34   148   142  34.1    35   131    95    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53  54.2 137.2  44.1  48.2   161   193   165  95.1   103    38   185 185.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71  35.1 161.1  82.1  27.1 112.2  34.2   162  46.2    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[66]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0004705521              0.8282932605              0.6614145269 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.290941787             0.009260043             0.133071421 
#>   grade_iii, Cure model 
#>             0.166114674 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 25     6.32      1  34        1         0
#> 105   19.75      1  60        0         0
#> 136   21.83      1  43        0         1
#> 177   12.53      1  75        0         0
#> 155   13.08      1  26        0         0
#> 68    20.62      1  44        0         0
#> 81    14.06      1  34        0         0
#> 106   16.67      1  49        1         0
#> 107   11.18      1  54        1         0
#> 175   21.91      1  43        0         0
#> 5     16.43      1  51        0         1
#> 149    8.37      1  33        1         0
#> 169   22.41      1  46        0         0
#> 79    16.23      1  54        1         0
#> 59    10.16      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 77     7.27      1  67        0         1
#> 128   20.35      1  35        0         1
#> 177.1 12.53      1  75        0         0
#> 13    14.34      1  54        0         1
#> 184   17.77      1  38        0         0
#> 105.1 19.75      1  60        0         0
#> 145   10.07      1  65        1         0
#> 113   22.86      1  34        0         0
#> 168   23.72      1  70        0         0
#> 166   19.98      1  48        0         0
#> 181   16.46      1  45        0         1
#> 192   16.44      1  31        1         0
#> 130   16.47      1  53        0         1
#> 79.1  16.23      1  54        1         0
#> 90    20.94      1  50        0         1
#> 129   23.41      1  53        1         0
#> 89    11.44      1  NA        0         0
#> 63    22.77      1  31        1         0
#> 117   17.46      1  26        0         1
#> 6     15.64      1  39        0         0
#> 180   14.82      1  37        0         0
#> 106.1 16.67      1  49        1         0
#> 30    17.43      1  78        0         0
#> 140   12.68      1  59        1         0
#> 127    3.53      1  62        0         1
#> 58    19.34      1  39        0         0
#> 145.1 10.07      1  65        1         0
#> 16     8.71      1  71        0         1
#> 78    23.88      1  43        0         0
#> 159   10.55      1  50        0         1
#> 23    16.92      1  61        0         0
#> 124    9.73      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 15    22.68      1  48        0         0
#> 181.1 16.46      1  45        0         1
#> 110   17.56      1  65        0         1
#> 57    14.46      1  45        0         1
#> 59.1  10.16      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 6.1   15.64      1  39        0         0
#> 123   13.00      1  44        1         0
#> 57.1  14.46      1  45        0         1
#> 107.1 11.18      1  54        1         0
#> 187    9.92      1  39        1         0
#> 149.1  8.37      1  33        1         0
#> 45    17.42      1  54        0         1
#> 97    19.14      1  65        0         1
#> 145.2 10.07      1  65        1         0
#> 25.1   6.32      1  34        1         0
#> 111   17.45      1  47        0         1
#> 69    23.23      1  25        0         1
#> 190   20.81      1  42        1         0
#> 105.2 19.75      1  60        0         0
#> 175.1 21.91      1  43        0         0
#> 89.1  11.44      1  NA        0         0
#> 79.2  16.23      1  54        1         0
#> 180.1 14.82      1  37        0         0
#> 188   16.16      1  46        0         1
#> 157   15.10      1  47        0         0
#> 101    9.97      1  10        0         1
#> 134   17.81      1  47        1         0
#> 158   20.14      1  74        1         0
#> 15.1  22.68      1  48        0         0
#> 61.1  10.12      1  36        0         1
#> 168.1 23.72      1  70        0         0
#> 105.3 19.75      1  60        0         0
#> 25.2   6.32      1  34        1         0
#> 153   21.33      1  55        1         0
#> 133.1 14.65      1  57        0         0
#> 81.1  14.06      1  34        0         0
#> 99    21.19      1  38        0         1
#> 57.2  14.46      1  45        0         1
#> 107.2 11.18      1  54        1         0
#> 127.1  3.53      1  62        0         1
#> 184.1 17.77      1  38        0         0
#> 51    18.23      1  83        0         1
#> 189   10.51      1  NA        1         0
#> 58.1  19.34      1  39        0         0
#> 76    19.22      1  54        0         1
#> 32    20.90      1  37        1         0
#> 155.1 13.08      1  26        0         0
#> 140.1 12.68      1  59        1         0
#> 158.1 20.14      1  74        1         0
#> 24    23.89      1  38        0         0
#> 168.2 23.72      1  70        0         0
#> 145.3 10.07      1  65        1         0
#> 150   20.33      1  48        0         0
#> 106.2 16.67      1  49        1         0
#> 171   16.57      1  41        0         1
#> 159.1 10.55      1  50        0         1
#> 168.3 23.72      1  70        0         0
#> 117.1 17.46      1  26        0         1
#> 8     18.43      1  32        0         0
#> 99.1  21.19      1  38        0         1
#> 57.3  14.46      1  45        0         1
#> 100   16.07      1  60        0         0
#> 71    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 98    24.00      0  34        1         0
#> 46    24.00      0  71        0         0
#> 34.1  24.00      0  36        0         0
#> 9     24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 34.2  24.00      0  36        0         0
#> 71.1  24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 11    24.00      0  42        0         1
#> 165   24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 9.1   24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 147.1 24.00      0  76        1         0
#> 109.1 24.00      0  48        0         0
#> 75    24.00      0  21        1         0
#> 34.3  24.00      0  36        0         0
#> 112   24.00      0  61        0         0
#> 143   24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 65    24.00      0  57        1         0
#> 115.1 24.00      0  NA        1         0
#> 94    24.00      0  51        0         1
#> 21    24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 33    24.00      0  53        0         0
#> 142   24.00      0  53        0         0
#> 46.1  24.00      0  71        0         0
#> 103   24.00      0  56        1         0
#> 135   24.00      0  58        1         0
#> 109.2 24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 142.1 24.00      0  53        0         0
#> 165.1 24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 31    24.00      0  36        0         1
#> 146   24.00      0  63        1         0
#> 21.1  24.00      0  47        0         0
#> 11.1  24.00      0  42        0         1
#> 72    24.00      0  40        0         1
#> 65.1  24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 84    24.00      0  39        0         1
#> 11.2  24.00      0  42        0         1
#> 35    24.00      0  51        0         0
#> 33.1  24.00      0  53        0         0
#> 19    24.00      0  57        0         1
#> 115.2 24.00      0  NA        1         0
#> 19.1  24.00      0  57        0         1
#> 53    24.00      0  32        0         1
#> 80    24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 75.1  24.00      0  21        1         0
#> 115.3 24.00      0  NA        1         0
#> 31.1  24.00      0  36        0         1
#> 7     24.00      0  37        1         0
#> 191   24.00      0  60        0         1
#> 104   24.00      0  50        1         0
#> 47.1  24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 67    24.00      0  25        0         0
#> 144.1 24.00      0  28        0         1
#> 19.2  24.00      0  57        0         1
#> 87.1  24.00      0  27        0         0
#> 103.1 24.00      0  56        1         0
#> 163.1 24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 103.2 24.00      0  56        1         0
#> 31.2  24.00      0  36        0         1
#> 151.1 24.00      0  42        0         0
#> 115.4 24.00      0  NA        1         0
#> 12.1  24.00      0  63        0         0
#> 7.1   24.00      0  37        1         0
#> 74    24.00      0  43        0         1
#> 163.2 24.00      0  66        0         0
#> 53.1  24.00      0  32        0         1
#> 138   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 74.1  24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 193   24.00      0  45        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.291          NA        NA      NA
#> 2 age, Cure model          0.00926        NA        NA      NA
#> 3 grade_ii, Cure model     0.133          NA        NA      NA
#> 4 grade_iii, Cure model    0.166          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000471        NA        NA      NA
#> 2 grade_ii, Survival model   0.828           NA        NA      NA
#> 3 grade_iii, Survival model  0.661           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.29094           0.00926           0.13307           0.16611  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    259.2 
#> Residual Deviance: 258.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.290941787      0.009260043      0.133071421      0.166114674 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0004705521     0.8282932605     0.6614145269 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.97142368 0.43140904 0.28812126 0.85290142 0.81893419 0.37085916
#>   [7] 0.80517119 0.61424172 0.86626903 0.26071582 0.67712675 0.95370356
#>  [13] 0.24666455 0.68468060 0.89851917 0.96552602 0.38151151 0.85290142
#>  [19] 0.79826191 0.53563323 0.43140904 0.91118350 0.18998741 0.07030048
#>  [25] 0.42162600 0.65410538 0.66949700 0.64619584 0.68468060 0.33765275
#>  [31] 0.13957116 0.20535075 0.56268799 0.72060516 0.74211619 0.61424172
#>  [37] 0.58861568 0.83954107 0.98861940 0.46932469 0.91118350 0.94767995
#>  [43] 0.04223119 0.88569123 0.60573379 0.17464444 0.21939511 0.65410538
#>  [49] 0.55370638 0.77077279 0.75644089 0.72060516 0.83270002 0.77077279
#>  [55] 0.86626903 0.94162271 0.95370356 0.59722925 0.49830905 0.91118350
#>  [61] 0.97142368 0.58000664 0.15799400 0.36021311 0.43140904 0.26071582
#>  [67] 0.68468060 0.74211619 0.70622440 0.73492135 0.93551645 0.52652464
#>  [73] 0.40229686 0.21939511 0.89851917 0.07030048 0.43140904 0.97142368
#>  [79] 0.30157704 0.75644089 0.80517119 0.31433248 0.77077279 0.86626903
#>  [85] 0.98861940 0.53563323 0.51721649 0.46932469 0.48869634 0.34916055
#>  [91] 0.81893419 0.83954107 0.40229686 0.01525820 0.07030048 0.91118350
#>  [97] 0.39190110 0.61424172 0.63819920 0.88569123 0.07030048 0.56268799
#> [103] 0.50776145 0.31433248 0.77077279 0.71341377 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    25   105   136   177   155    68    81   106   107   175     5   149   169 
#>  6.32 19.75 21.83 12.53 13.08 20.62 14.06 16.67 11.18 21.91 16.43  8.37 22.41 
#>    79    61    77   128 177.1    13   184 105.1   145   113   168   166   181 
#> 16.23 10.12  7.27 20.35 12.53 14.34 17.77 19.75 10.07 22.86 23.72 19.98 16.46 
#>   192   130  79.1    90   129    63   117     6   180 106.1    30   140   127 
#> 16.44 16.47 16.23 20.94 23.41 22.77 17.46 15.64 14.82 16.67 17.43 12.68  3.53 
#>    58 145.1    16    78   159    23    92    15 181.1   110    57   133   6.1 
#> 19.34 10.07  8.71 23.88 10.55 16.92 22.92 22.68 16.46 17.56 14.46 14.65 15.64 
#>   123  57.1 107.1   187 149.1    45    97 145.2  25.1   111    69   190 105.2 
#> 13.00 14.46 11.18  9.92  8.37 17.42 19.14 10.07  6.32 17.45 23.23 20.81 19.75 
#> 175.1  79.2 180.1   188   157   101   134   158  15.1  61.1 168.1 105.3  25.2 
#> 21.91 16.23 14.82 16.16 15.10  9.97 17.81 20.14 22.68 10.12 23.72 19.75  6.32 
#>   153 133.1  81.1    99  57.2 107.2 127.1 184.1    51  58.1    76    32 155.1 
#> 21.33 14.65 14.06 21.19 14.46 11.18  3.53 17.77 18.23 19.34 19.22 20.90 13.08 
#> 140.1 158.1    24 168.2 145.3   150 106.2   171 159.1 168.3 117.1     8  99.1 
#> 12.68 20.14 23.89 23.72 10.07 20.33 16.67 16.57 10.55 23.72 17.46 18.43 21.19 
#>  57.3   100    71    34    98    46  34.1     9  34.2  71.1   163   147    11 
#> 14.46 16.07 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165    47   116   9.1   109 147.1 109.1    75  34.3   112   143   121    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65    94    21   144    33   142  46.1   103   135 109.2    87 142.1 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12    31   146  21.1  11.1    72  65.1   198    84  11.2    35  33.1    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1    53    80   151  75.1  31.1     7   191   104  47.1   182    67 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.2  87.1 103.1 163.1    20 103.2  31.2 151.1  12.1   7.1    74 163.2  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138   120   173  74.1   185 146.1   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[67]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.015362351               0.204161755              -0.003009259 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.466828022             0.008526521            -0.090184781 
#>   grade_iii, Cure model 
#>             0.844422551 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 188   16.16      1  46        0         1
#> 164   23.60      1  76        0         1
#> 155   13.08      1  26        0         0
#> 166   19.98      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 164.1 23.60      1  76        0         1
#> 14    12.89      1  21        0         0
#> 90    20.94      1  50        0         1
#> 129   23.41      1  53        1         0
#> 150   20.33      1  48        0         0
#> 157   15.10      1  47        0         0
#> 45    17.42      1  54        0         1
#> 177   12.53      1  75        0         0
#> 57    14.46      1  45        0         1
#> 194   22.40      1  38        0         1
#> 130   16.47      1  53        0         1
#> 195   11.76      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 189   10.51      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 70     7.38      1  30        1         0
#> 168   23.72      1  70        0         0
#> 169   22.41      1  46        0         0
#> 8     18.43      1  32        0         0
#> 49    12.19      1  48        1         0
#> 177.1 12.53      1  75        0         0
#> 92.1  22.92      1  47        0         1
#> 66    22.13      1  53        0         0
#> 155.1 13.08      1  26        0         0
#> 133   14.65      1  57        0         0
#> 86    23.81      1  58        0         1
#> 166.1 19.98      1  48        0         0
#> 197   21.60      1  69        1         0
#> 59    10.16      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 170   19.54      1  43        0         1
#> 123   13.00      1  44        1         0
#> 159   10.55      1  50        0         1
#> 183    9.24      1  67        1         0
#> 66.1  22.13      1  53        0         0
#> 153   21.33      1  55        1         0
#> 51    18.23      1  83        0         1
#> 59.1  10.16      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 108   18.29      1  39        0         1
#> 91     5.33      1  61        0         1
#> 60    13.15      1  38        1         0
#> 86.1  23.81      1  58        0         1
#> 154   12.63      1  20        1         0
#> 5     16.43      1  51        0         1
#> 26    15.77      1  49        0         1
#> 30    17.43      1  78        0         0
#> 63    22.77      1  31        1         0
#> 177.2 12.53      1  75        0         0
#> 181   16.46      1  45        0         1
#> 106   16.67      1  49        1         0
#> 101    9.97      1  10        0         1
#> 36.1  21.19      1  48        0         1
#> 32    20.90      1  37        1         0
#> 96    14.54      1  33        0         1
#> 129.1 23.41      1  53        1         0
#> 76    19.22      1  54        0         1
#> 52    10.42      1  52        0         1
#> 188.1 16.16      1  46        0         1
#> 61    10.12      1  36        0         1
#> 155.2 13.08      1  26        0         0
#> 124    9.73      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 66.2  22.13      1  53        0         0
#> 86.2  23.81      1  58        0         1
#> 100   16.07      1  60        0         0
#> 136   21.83      1  43        0         1
#> 195.1 11.76      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 40    18.00      1  28        1         0
#> 97    19.14      1  65        0         1
#> 55.1  19.34      1  69        0         1
#> 108.1 18.29      1  39        0         1
#> 66.3  22.13      1  53        0         0
#> 100.1 16.07      1  60        0         0
#> 199   19.81      1  NA        0         1
#> 43    12.10      1  61        0         1
#> 10    10.53      1  34        0         0
#> 150.1 20.33      1  48        0         0
#> 99    21.19      1  38        0         1
#> 8.1   18.43      1  32        0         0
#> 154.1 12.63      1  20        1         0
#> 79    16.23      1  54        1         0
#> 15    22.68      1  48        0         0
#> 68    20.62      1  44        0         0
#> 194.1 22.40      1  38        0         1
#> 199.1 19.81      1  NA        0         1
#> 149    8.37      1  33        1         0
#> 40.1  18.00      1  28        1         0
#> 97.1  19.14      1  65        0         1
#> 91.1   5.33      1  61        0         1
#> 145   10.07      1  65        1         0
#> 101.1  9.97      1  10        0         1
#> 58.1  19.34      1  39        0         0
#> 127    3.53      1  62        0         1
#> 78    23.88      1  43        0         0
#> 100.2 16.07      1  60        0         0
#> 145.1 10.07      1  65        1         0
#> 100.3 16.07      1  60        0         0
#> 129.2 23.41      1  53        1         0
#> 145.2 10.07      1  65        1         0
#> 133.1 14.65      1  57        0         0
#> 192   16.44      1  31        1         0
#> 76.1  19.22      1  54        0         1
#> 108.2 18.29      1  39        0         1
#> 194.2 22.40      1  38        0         1
#> 42    12.43      1  49        0         1
#> 17    24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 73    24.00      0  NA        0         1
#> 191   24.00      0  60        0         1
#> 160   24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 3     24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 3.1   24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 191.1 24.00      0  60        0         1
#> 44.1  24.00      0  56        0         0
#> 72    24.00      0  40        0         1
#> 200.1 24.00      0  64        0         0
#> 62    24.00      0  71        0         0
#> 138   24.00      0  44        1         0
#> 17.1  24.00      0  38        0         1
#> 156.1 24.00      0  50        1         0
#> 148   24.00      0  61        1         0
#> 35    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 17.2  24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 27    24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 62.1  24.00      0  71        0         0
#> 83    24.00      0   6        0         0
#> 185   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 47    24.00      0  38        0         1
#> 172   24.00      0  41        0         0
#> 48    24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 176   24.00      0  43        0         1
#> 47.1  24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 119   24.00      0  17        0         0
#> 94    24.00      0  51        0         1
#> 11    24.00      0  42        0         1
#> 46.1  24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 138.1 24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 65.1  24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 163   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 146   24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 122   24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 46.2  24.00      0  71        0         0
#> 73.1  24.00      0  NA        0         1
#> 54    24.00      0  53        1         0
#> 12    24.00      0  63        0         0
#> 193   24.00      0  45        0         1
#> 144   24.00      0  28        0         1
#> 65.2  24.00      0  57        1         0
#> 109   24.00      0  48        0         0
#> 115   24.00      0  NA        1         0
#> 137   24.00      0  45        1         0
#> 161.1 24.00      0  45        0         0
#> 148.1 24.00      0  61        1         0
#> 185.1 24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 160.1 24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 112   24.00      0  61        0         0
#> 198   24.00      0  66        0         1
#> 172.1 24.00      0  41        0         0
#> 87    24.00      0  27        0         0
#> 47.2  24.00      0  38        0         1
#> 118   24.00      0  44        1         0
#> 185.2 24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 83.1  24.00      0   6        0         0
#> 198.1 24.00      0  66        0         1
#> 172.2 24.00      0  41        0         0
#> 102   24.00      0  49        0         0
#> 161.2 24.00      0  45        0         0
#> 19    24.00      0  57        0         1
#> 94.1  24.00      0  51        0         1
#> 147   24.00      0  76        1         0
#> 172.3 24.00      0  41        0         0
#> 115.1 24.00      0  NA        1         0
#> 87.1  24.00      0  27        0         0
#> 64.2  24.00      0  43        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.467          NA        NA      NA
#> 2 age, Cure model          0.00853        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0902         NA        NA      NA
#> 4 grade_iii, Cure model    0.844          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.0154         NA        NA      NA
#> 2 grade_ii, Survival model   0.204          NA        NA      NA
#> 3 grade_iii, Survival model -0.00301        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.466828          0.008527         -0.090185          0.844423  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 248.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.466828022      0.008526521     -0.090184781      0.844422551 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.015362351      0.204161755     -0.003009259 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3686940014 0.0023072924 0.5391820697 0.1107396333 0.0023072924
#>   [6] 0.5971219612 0.0804240518 0.0048327182 0.0981652311 0.4556856195
#>  [11] 0.2900859736 0.6418092725 0.5105684659 0.0222937791 0.3116517557
#>  [16] 0.2693879440 0.0096545725 0.9264438400 0.0014281775 0.0193405742
#>  [21] 0.1939629325 0.7039959030 0.6418092725 0.0096545725 0.0314662818
#>  [26] 0.5391820697 0.4691243186 0.0002555826 0.1107396333 0.0550660889
#>  [31] 0.1311702710 0.1241066178 0.5822539034 0.7364427480 0.8904913376
#>  [36] 0.0314662818 0.0598791604 0.2396477923 0.0648826254 0.2118421717
#>  [41] 0.9445463012 0.5248136638 0.0002555826 0.6120928211 0.3453712968
#>  [46] 0.4424476923 0.2796032359 0.0140767540 0.6418092725 0.3227319489
#>  [51] 0.3007872483 0.8553858715 0.0648826254 0.0861937348 0.4965194970
#>  [56] 0.0048327182 0.1604466511 0.7696555554 0.3686940014 0.7865382691
#>  [61] 0.5391820697 0.1311702710 0.0314662818 0.0002555826 0.3925810502
#>  [66] 0.0504834644 0.0460942153 0.2495887233 0.1767022503 0.1311702710
#>  [71] 0.2118421717 0.0314662818 0.3925810502 0.7201079569 0.7529746442
#>  [76] 0.0981652311 0.0648826254 0.1939629325 0.6120928211 0.3569440767
#>  [81] 0.0165998034 0.0920838872 0.0222937791 0.9084211186 0.2495887233
#>  [86] 0.1767022503 0.9445463012 0.8035769863 0.8553858715 0.1311702710
#>  [91] 0.9812535894 0.0000368785 0.3925810502 0.8035769863 0.3925810502
#>  [96] 0.0048327182 0.8035769863 0.4691243186 0.3340059192 0.1604466511
#> [101] 0.2118421717 0.0222937791 0.6880348322 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000
#> 
#> $Time
#>   188   164   155   166 164.1    14    90   129   150   157    45   177    57 
#> 16.16 23.60 13.08 19.98 23.60 12.89 20.94 23.41 20.33 15.10 17.42 12.53 14.46 
#>   194   130   117    92    70   168   169     8    49 177.1  92.1    66 155.1 
#> 22.40 16.47 17.46 22.92  7.38 23.72 22.41 18.43 12.19 12.53 22.92 22.13 13.08 
#>   133    86 166.1   197    55   170   123   159   183  66.1   153    51    36 
#> 14.65 23.81 19.98 21.60 19.34 19.54 13.00 10.55  9.24 22.13 21.33 18.23 21.19 
#>   108    91    60  86.1   154     5    26    30    63 177.2   181   106   101 
#> 18.29  5.33 13.15 23.81 12.63 16.43 15.77 17.43 22.77 12.53 16.46 16.67  9.97 
#>  36.1    32    96 129.1    76    52 188.1    61 155.2    58  66.2  86.2   100 
#> 21.19 20.90 14.54 23.41 19.22 10.42 16.16 10.12 13.08 19.34 22.13 23.81 16.07 
#>   136   175    40    97  55.1 108.1  66.3 100.1    43    10 150.1    99   8.1 
#> 21.83 21.91 18.00 19.14 19.34 18.29 22.13 16.07 12.10 10.53 20.33 21.19 18.43 
#> 154.1    79    15    68 194.1   149  40.1  97.1  91.1   145 101.1  58.1   127 
#> 12.63 16.23 22.68 20.62 22.40  8.37 18.00 19.14  5.33 10.07  9.97 19.34  3.53 
#>    78 100.2 145.1 100.3 129.2 145.2 133.1   192  76.1 108.2 194.2    42    17 
#> 23.88 16.07 10.07 16.07 23.41 10.07 14.65 16.44 19.22 18.29 22.40 12.43 24.00 
#>    44   191   160   200     3     2   142   3.1   156 191.1  44.1    72 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   138  17.1 156.1   148    35    65  17.2   161    27     7  62.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185    46    47   172    48   7.1   176  47.1   182   119    94    11  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 138.1   152  65.1   178   163   174   146    67   122    74  46.2    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   193   144  65.2   109   137 161.1 148.1 185.1   173 160.1  64.1   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198 172.1    87  47.2   118 185.2   143  83.1 198.1 172.2   102 161.2    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1   147 172.3  87.1  64.2 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[68]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001230402               0.880179317               0.355833287 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.582634499             0.003952111             0.598101963 
#>   grade_iii, Cure model 
#>             1.462477656 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 140   12.68      1  59        1         0
#> 189   10.51      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 76    19.22      1  54        0         1
#> 199   19.81      1  NA        0         1
#> 100   16.07      1  60        0         0
#> 88    18.37      1  47        0         0
#> 43    12.10      1  61        0         1
#> 85    16.44      1  36        0         0
#> 134   17.81      1  47        1         0
#> 133   14.65      1  57        0         0
#> 175   21.91      1  43        0         0
#> 123   13.00      1  44        1         0
#> 194   22.40      1  38        0         1
#> 108   18.29      1  39        0         1
#> 18    15.21      1  49        1         0
#> 197   21.60      1  69        1         0
#> 5     16.43      1  51        0         1
#> 169   22.41      1  46        0         0
#> 70     7.38      1  30        1         0
#> 117   17.46      1  26        0         1
#> 4     17.64      1  NA        0         1
#> 197.1 21.60      1  69        1         0
#> 197.2 21.60      1  69        1         0
#> 79    16.23      1  54        1         0
#> 184   17.77      1  38        0         0
#> 37    12.52      1  57        1         0
#> 4.1   17.64      1  NA        0         1
#> 70.1   7.38      1  30        1         0
#> 40    18.00      1  28        1         0
#> 23    16.92      1  61        0         0
#> 134.1 17.81      1  47        1         0
#> 125   15.65      1  67        1         0
#> 195   11.76      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 180   14.82      1  37        0         0
#> 125.1 15.65      1  67        1         0
#> 8     18.43      1  32        0         0
#> 56    12.21      1  60        0         0
#> 187    9.92      1  39        1         0
#> 194.1 22.40      1  38        0         1
#> 192   16.44      1  31        1         0
#> 117.1 17.46      1  26        0         1
#> 134.2 17.81      1  47        1         0
#> 91     5.33      1  61        0         1
#> 41    18.02      1  40        1         0
#> 100.1 16.07      1  60        0         0
#> 177   12.53      1  75        0         0
#> 14    12.89      1  21        0         0
#> 55    19.34      1  69        0         1
#> 45    17.42      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 128   20.35      1  35        0         1
#> 63    22.77      1  31        1         0
#> 76.1  19.22      1  54        0         1
#> 170   19.54      1  43        0         1
#> 150   20.33      1  48        0         0
#> 45.1  17.42      1  54        0         1
#> 45.2  17.42      1  54        0         1
#> 77     7.27      1  67        0         1
#> 155   13.08      1  26        0         0
#> 155.1 13.08      1  26        0         0
#> 68    20.62      1  44        0         0
#> 37.1  12.52      1  57        1         0
#> 5.1   16.43      1  51        0         1
#> 68.1  20.62      1  44        0         0
#> 168   23.72      1  70        0         0
#> 60    13.15      1  38        1         0
#> 24    23.89      1  38        0         0
#> 154   12.63      1  20        1         0
#> 24.1  23.89      1  38        0         0
#> 117.2 17.46      1  26        0         1
#> 68.2  20.62      1  44        0         0
#> 76.2  19.22      1  54        0         1
#> 60.1  13.15      1  38        1         0
#> 15    22.68      1  48        0         0
#> 29    15.45      1  68        1         0
#> 97    19.14      1  65        0         1
#> 149    8.37      1  33        1         0
#> 36    21.19      1  48        0         1
#> 130   16.47      1  53        0         1
#> 117.3 17.46      1  26        0         1
#> 59    10.16      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 45.3  17.42      1  54        0         1
#> 169.1 22.41      1  46        0         0
#> 108.1 18.29      1  39        0         1
#> 60.2  13.15      1  38        1         0
#> 69    23.23      1  25        0         1
#> 29.1  15.45      1  68        1         0
#> 77.1   7.27      1  67        0         1
#> 86    23.81      1  58        0         1
#> 127    3.53      1  62        0         1
#> 51    18.23      1  83        0         1
#> 78    23.88      1  43        0         0
#> 76.3  19.22      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 86.1  23.81      1  58        0         1
#> 140.1 12.68      1  59        1         0
#> 195.1 11.76      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 129   23.41      1  53        1         0
#> 92    22.92      1  47        0         1
#> 166.1 19.98      1  48        0         0
#> 52    10.42      1  52        0         1
#> 117.4 17.46      1  26        0         1
#> 106   16.67      1  49        1         0
#> 91.1   5.33      1  61        0         1
#> 66.1  22.13      1  53        0         0
#> 149.1  8.37      1  33        1         0
#> 124    9.73      1  NA        1         0
#> 22    24.00      0  52        1         0
#> 173   24.00      0  19        0         1
#> 104   24.00      0  50        1         0
#> 122   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 11    24.00      0  42        0         1
#> 121   24.00      0  57        1         0
#> 65    24.00      0  57        1         0
#> 44    24.00      0  56        0         0
#> 44.1  24.00      0  56        0         0
#> 112   24.00      0  61        0         0
#> 147   24.00      0  76        1         0
#> 62    24.00      0  71        0         0
#> 131   24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 172   24.00      0  41        0         0
#> 142.1 24.00      0  53        0         0
#> 48    24.00      0  31        1         0
#> 131.2 24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 74    24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 64    24.00      0  43        0         0
#> 98    24.00      0  34        1         0
#> 131.3 24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 20    24.00      0  46        1         0
#> 64.1  24.00      0  43        0         0
#> 54    24.00      0  53        1         0
#> 82    24.00      0  34        0         0
#> 198   24.00      0  66        0         1
#> 94    24.00      0  51        0         1
#> 151   24.00      0  42        0         0
#> 95    24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 173.1 24.00      0  19        0         1
#> 141   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 186.1 24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 31    24.00      0  36        0         1
#> 102   24.00      0  49        0         0
#> 27    24.00      0  63        1         0
#> 163   24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 121.1 24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 165.1 24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 74.1  24.00      0  43        0         1
#> 200.1 24.00      0  64        0         0
#> 162   24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 115   24.00      0  NA        1         0
#> 2     24.00      0   9        0         0
#> 148   24.00      0  61        1         0
#> 74.2  24.00      0  43        0         1
#> 165.2 24.00      0  47        0         0
#> 64.2  24.00      0  43        0         0
#> 98.1  24.00      0  34        1         0
#> 126   24.00      0  48        0         0
#> 102.1 24.00      0  49        0         0
#> 73    24.00      0  NA        0         1
#> 141.1 24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 11.1  24.00      0  42        0         1
#> 1     24.00      0  23        1         0
#> 200.2 24.00      0  64        0         0
#> 126.1 24.00      0  48        0         0
#> 20.1  24.00      0  46        1         0
#> 98.2  24.00      0  34        1         0
#> 28    24.00      0  67        1         0
#> 165.3 24.00      0  47        0         0
#> 94.1  24.00      0  51        0         1
#> 3     24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 64.3  24.00      0  43        0         0
#> 137   24.00      0  45        1         0
#> 82.1  24.00      0  34        0         0
#> 109.1 24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 54.1  24.00      0  53        1         0
#> 182   24.00      0  35        0         0
#> 82.2  24.00      0  34        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.583          NA        NA      NA
#> 2 age, Cure model          0.00395        NA        NA      NA
#> 3 grade_ii, Cure model     0.598          NA        NA      NA
#> 4 grade_iii, Cure model    1.46           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00123        NA        NA      NA
#> 2 grade_ii, Survival model   0.880          NA        NA      NA
#> 3 grade_iii, Survival model  0.356          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.582634          0.003952          0.598102          1.462478  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 244.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.582634499      0.003952111      0.598101963      1.462477656 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001230402      0.880179317      0.355833287 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.79212615 0.86569261 0.25345591 0.43085528 0.73761359 0.49124634
#>   [7] 0.91447950 0.69695069 0.56061016 0.80728368 0.27856223 0.85120901
#>  [13] 0.22850750 0.50150561 0.78455306 0.29144247 0.71331901 0.20253616
#>  [19] 0.94828451 0.59598596 0.29144247 0.29144247 0.72956042 0.58703565
#>  [25] 0.89386562 0.94828451 0.55107706 0.67167150 0.56061016 0.75365681
#>  [31] 0.97430880 0.79970332 0.75365681 0.48099910 0.90758830 0.92821097
#>  [37] 0.22850750 0.69695069 0.59598596 0.56061016 0.98076614 0.54131951
#>  [43] 0.73761359 0.88684266 0.85845003 0.42016891 0.63823783 0.36626641
#>  [49] 0.17592755 0.43085528 0.40939730 0.37709449 0.63823783 0.63823783
#>  [55] 0.96132434 0.83662998 0.83662998 0.33439748 0.89386562 0.71331901
#>  [61] 0.33439748 0.11136103 0.81486887 0.01914948 0.87982461 0.01914948
#>  [67] 0.59598596 0.33439748 0.43085528 0.81486887 0.18920485 0.76929378
#>  [73] 0.47076029 0.93500289 0.32347546 0.68859175 0.59598596 0.38794046
#>  [79] 0.63823783 0.20253616 0.50150561 0.81486887 0.14595291 0.76929378
#>  [85] 0.96132434 0.07748969 0.99358377 0.52152222 0.05460584 0.43085528
#>  [91] 0.07748969 0.86569261 0.52152222 0.13009086 0.16118139 0.38794046
#>  [97] 0.92135390 0.59598596 0.68019845 0.98076614 0.25345591 0.93500289
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   157   140    66    76   100    88    43    85   134   133   175   123   194 
#> 15.10 12.68 22.13 19.22 16.07 18.37 12.10 16.44 17.81 14.65 21.91 13.00 22.40 
#>   108    18   197     5   169    70   117 197.1 197.2    79   184    37  70.1 
#> 18.29 15.21 21.60 16.43 22.41  7.38 17.46 21.60 21.60 16.23 17.77 12.52  7.38 
#>    40    23 134.1   125    25   180 125.1     8    56   187 194.1   192 117.1 
#> 18.00 16.92 17.81 15.65  6.32 14.82 15.65 18.43 12.21  9.92 22.40 16.44 17.46 
#> 134.2    91    41 100.1   177    14    55    45   128    63  76.1   170   150 
#> 17.81  5.33 18.02 16.07 12.53 12.89 19.34 17.42 20.35 22.77 19.22 19.54 20.33 
#>  45.1  45.2    77   155 155.1    68  37.1   5.1  68.1   168    60    24   154 
#> 17.42 17.42  7.27 13.08 13.08 20.62 12.52 16.43 20.62 23.72 13.15 23.89 12.63 
#>  24.1 117.2  68.2  76.2  60.1    15    29    97   149    36   130 117.3   166 
#> 23.89 17.46 20.62 19.22 13.15 22.68 15.45 19.14  8.37 21.19 16.47 17.46 19.98 
#>  45.3 169.1 108.1  60.2    69  29.1  77.1    86   127    51    78  76.3  86.1 
#> 17.42 22.41 18.29 13.15 23.23 15.45  7.27 23.81  3.53 18.23 23.88 19.22 23.81 
#> 140.1  51.1   129    92 166.1    52 117.4   106  91.1  66.1 149.1    22   173 
#> 12.68 18.23 23.41 22.92 19.98 10.42 17.46 16.67  5.33 22.13  8.37 24.00 24.00 
#>   104   122   142    11   121    65    44  44.1   112   147    62   131 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   172 142.1    48 131.2    87    74    75    64    98 131.3    33   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20  64.1    54    82   198    94   151    95   132 173.1   141   109 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165    31   102    27   163   143   191 121.1    35    83 165.1     9  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1   162   178     2   148  74.2 165.2  64.2  98.1   126 102.1 141.1   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1     1 200.2 126.1  20.1  98.2    28 165.3  94.1     3    21  64.3   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1 109.1   119  54.1   182  82.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[69]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008208474               0.843390729               0.378341683 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.46572932              0.01006809             -0.04017733 
#>   grade_iii, Cure model 
#>              0.52358553 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 51    18.23      1  83        0         1
#> 130   16.47      1  53        0         1
#> 130.1 16.47      1  53        0         1
#> 4     17.64      1  NA        0         1
#> 45    17.42      1  54        0         1
#> 106   16.67      1  49        1         0
#> 32    20.90      1  37        1         0
#> 145   10.07      1  65        1         0
#> 184   17.77      1  38        0         0
#> 93    10.33      1  52        0         1
#> 92    22.92      1  47        0         1
#> 81    14.06      1  34        0         0
#> 187    9.92      1  39        1         0
#> 177   12.53      1  75        0         0
#> 55    19.34      1  69        0         1
#> 57    14.46      1  45        0         1
#> 183    9.24      1  67        1         0
#> 68    20.62      1  44        0         0
#> 153   21.33      1  55        1         0
#> 90    20.94      1  50        0         1
#> 117   17.46      1  26        0         1
#> 100   16.07      1  60        0         0
#> 139   21.49      1  63        1         0
#> 155   13.08      1  26        0         0
#> 136   21.83      1  43        0         1
#> 145.1 10.07      1  65        1         0
#> 85    16.44      1  36        0         0
#> 124    9.73      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 113   22.86      1  34        0         0
#> 110   17.56      1  65        0         1
#> 134   17.81      1  47        1         0
#> 101    9.97      1  10        0         1
#> 85.1  16.44      1  36        0         0
#> 133   14.65      1  57        0         0
#> 124.1  9.73      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 175   21.91      1  43        0         0
#> 78    23.88      1  43        0         0
#> 26    15.77      1  49        0         1
#> 136.1 21.83      1  43        0         1
#> 199   19.81      1  NA        0         1
#> 171   16.57      1  41        0         1
#> 68.1  20.62      1  44        0         0
#> 187.1  9.92      1  39        1         0
#> 96    14.54      1  33        0         1
#> 149    8.37      1  33        1         0
#> 113.1 22.86      1  34        0         0
#> 36    21.19      1  48        0         1
#> 199.1 19.81      1  NA        0         1
#> 89    11.44      1  NA        0         0
#> 171.1 16.57      1  41        0         1
#> 45.1  17.42      1  54        0         1
#> 89.1  11.44      1  NA        0         0
#> 91     5.33      1  61        0         1
#> 169   22.41      1  46        0         0
#> 189   10.51      1  NA        1         0
#> 93.1  10.33      1  52        0         1
#> 90.1  20.94      1  50        0         1
#> 92.1  22.92      1  47        0         1
#> 110.1 17.56      1  65        0         1
#> 23    16.92      1  61        0         0
#> 99    21.19      1  38        0         1
#> 60    13.15      1  38        1         0
#> 66    22.13      1  53        0         0
#> 139.1 21.49      1  63        1         0
#> 90.2  20.94      1  50        0         1
#> 128   20.35      1  35        0         1
#> 16     8.71      1  71        0         1
#> 187.2  9.92      1  39        1         0
#> 40    18.00      1  28        1         0
#> 25     6.32      1  34        1         0
#> 76    19.22      1  54        0         1
#> 42    12.43      1  49        0         1
#> 96.1  14.54      1  33        0         1
#> 154   12.63      1  20        1         0
#> 36.1  21.19      1  48        0         1
#> 56    12.21      1  60        0         0
#> 167   15.55      1  56        1         0
#> 55.1  19.34      1  69        0         1
#> 32.1  20.90      1  37        1         0
#> 14    12.89      1  21        0         0
#> 168   23.72      1  70        0         0
#> 60.1  13.15      1  38        1         0
#> 66.1  22.13      1  53        0         0
#> 187.3  9.92      1  39        1         0
#> 29    15.45      1  68        1         0
#> 18    15.21      1  49        1         0
#> 77     7.27      1  67        0         1
#> 99.1  21.19      1  38        0         1
#> 89.2  11.44      1  NA        0         0
#> 111   17.45      1  47        0         1
#> 107   11.18      1  54        1         0
#> 89.3  11.44      1  NA        0         0
#> 190   20.81      1  42        1         0
#> 117.1 17.46      1  26        0         1
#> 168.1 23.72      1  70        0         0
#> 136.2 21.83      1  43        0         1
#> 25.1   6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 37    12.52      1  57        1         0
#> 81.1  14.06      1  34        0         0
#> 61    10.12      1  36        0         1
#> 51.1  18.23      1  83        0         1
#> 100.2 16.07      1  60        0         0
#> 190.1 20.81      1  42        1         0
#> 153.1 21.33      1  55        1         0
#> 10    10.53      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 166   19.98      1  48        0         0
#> 23.1  16.92      1  61        0         0
#> 33    24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 62    24.00      0  71        0         0
#> 144   24.00      0  28        0         1
#> 98    24.00      0  34        1         0
#> 186   24.00      0  45        1         0
#> 80    24.00      0  41        0         0
#> 144.1 24.00      0  28        0         1
#> 147   24.00      0  76        1         0
#> 71    24.00      0  51        0         0
#> 80.1  24.00      0  41        0         0
#> 53    24.00      0  32        0         1
#> 22    24.00      0  52        1         0
#> 196   24.00      0  19        0         0
#> 47    24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 176   24.00      0  43        0         1
#> 147.1 24.00      0  76        1         0
#> 178   24.00      0  52        1         0
#> 71.1  24.00      0  51        0         0
#> 120.1 24.00      0  68        0         1
#> 186.1 24.00      0  45        1         0
#> 11    24.00      0  42        0         1
#> 83    24.00      0   6        0         0
#> 116   24.00      0  58        0         1
#> 193   24.00      0  45        0         1
#> 172   24.00      0  41        0         0
#> 27    24.00      0  63        1         0
#> 46    24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 116.1 24.00      0  58        0         1
#> 116.2 24.00      0  58        0         1
#> 34    24.00      0  36        0         0
#> 172.1 24.00      0  41        0         0
#> 186.2 24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 198   24.00      0  66        0         1
#> 20    24.00      0  46        1         0
#> 119   24.00      0  17        0         0
#> 75    24.00      0  21        1         0
#> 64    24.00      0  43        0         0
#> 38    24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 34.1  24.00      0  36        0         0
#> 109.1 24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 126   24.00      0  48        0         0
#> 103.1 24.00      0  56        1         0
#> 9     24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 144.2 24.00      0  28        0         1
#> 115   24.00      0  NA        1         0
#> 162   24.00      0  51        0         0
#> 98.1  24.00      0  34        1         0
#> 62.1  24.00      0  71        0         0
#> 185   24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 47.1  24.00      0  38        0         1
#> 118.1 24.00      0  44        1         0
#> 116.3 24.00      0  58        0         1
#> 44    24.00      0  56        0         0
#> 64.1  24.00      0  43        0         0
#> 74    24.00      0  43        0         1
#> 147.2 24.00      0  76        1         0
#> 47.2  24.00      0  38        0         1
#> 118.2 24.00      0  44        1         0
#> 27.1  24.00      0  63        1         0
#> 62.2  24.00      0  71        0         0
#> 196.1 24.00      0  19        0         0
#> 53.1  24.00      0  32        0         1
#> 109.2 24.00      0  48        0         0
#> 173   24.00      0  19        0         1
#> 73    24.00      0  NA        0         1
#> 54    24.00      0  53        1         0
#> 120.2 24.00      0  68        0         1
#> 20.1  24.00      0  46        1         0
#> 119.1 24.00      0  17        0         0
#> 73.1  24.00      0  NA        0         1
#> 161   24.00      0  45        0         0
#> 176.1 24.00      0  43        0         1
#> 176.2 24.00      0  43        0         1
#> 84    24.00      0  39        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.466         NA        NA      NA
#> 2 age, Cure model           0.0101        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0402        NA        NA      NA
#> 4 grade_iii, Cure model     0.524         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00821        NA        NA      NA
#> 2 grade_ii, Survival model   0.843          NA        NA      NA
#> 3 grade_iii, Survival model  0.378          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.46573           0.01007          -0.04018           0.52359  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 252.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.46572932       0.01006809      -0.04017733       0.52358553 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008208474      0.843390729      0.378341683 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.385409856 0.563450104 0.563450104 0.484700316 0.524349913 0.258612659
#>   [7] 0.869391126 0.425475670 0.840159658 0.025522987 0.712588173 0.898331591
#>  [13] 0.781510392 0.335857905 0.702633511 0.935270226 0.297127000 0.167224865
#>  [19] 0.228020223 0.455174496 0.602764945 0.144751172 0.752025470 0.110433176
#>  [25] 0.869391126 0.583022719 0.524349913 0.043121283 0.435408037 0.415605055
#>  [31] 0.888673737 0.583022719 0.672871685 0.602764945 0.365317956 0.097470836
#>  [37] 0.002059552 0.632701933 0.110433176 0.543914964 0.297127000 0.898331591
#>  [43] 0.682862724 0.953972818 0.043121283 0.188342775 0.543914964 0.484700316
#>  [49] 0.990820464 0.062771029 0.840159658 0.228020223 0.025522987 0.435408037
#>  [55] 0.504371622 0.188342775 0.732492946 0.074130399 0.144751172 0.228020223
#>  [61] 0.316323120 0.944612963 0.898331591 0.405596527 0.972565826 0.355394295
#>  [67] 0.801076143 0.682862724 0.771756249 0.188342775 0.810834266 0.642846429
#>  [73] 0.335857905 0.258612659 0.761880745 0.008548610 0.732492946 0.074130399
#>  [79] 0.898331591 0.652916602 0.662935777 0.963262247 0.188342775 0.474788392
#>  [85] 0.820638277 0.278299893 0.455174496 0.008548610 0.110433176 0.972565826
#>  [91] 0.375320866 0.791320825 0.712588173 0.859616587 0.385409856 0.602764945
#>  [97] 0.278299893 0.167224865 0.830384997 0.326042862 0.504371622 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    51   130 130.1    45   106    32   145   184    93    92    81   187   177 
#> 18.23 16.47 16.47 17.42 16.67 20.90 10.07 17.77 10.33 22.92 14.06  9.92 12.53 
#>    55    57   183    68   153    90   117   100   139   155   136 145.1    85 
#> 19.34 14.46  9.24 20.62 21.33 20.94 17.46 16.07 21.49 13.08 21.83 10.07 16.44 
#> 106.1   113   110   134   101  85.1   133 100.1   179   175    78    26 136.1 
#> 16.67 22.86 17.56 17.81  9.97 16.44 14.65 16.07 18.63 21.91 23.88 15.77 21.83 
#>   171  68.1 187.1    96   149 113.1    36 171.1  45.1    91   169  93.1  90.1 
#> 16.57 20.62  9.92 14.54  8.37 22.86 21.19 16.57 17.42  5.33 22.41 10.33 20.94 
#>  92.1 110.1    23    99    60    66 139.1  90.2   128    16 187.2    40    25 
#> 22.92 17.56 16.92 21.19 13.15 22.13 21.49 20.94 20.35  8.71  9.92 18.00  6.32 
#>    76    42  96.1   154  36.1    56   167  55.1  32.1    14   168  60.1  66.1 
#> 19.22 12.43 14.54 12.63 21.19 12.21 15.55 19.34 20.90 12.89 23.72 13.15 22.13 
#> 187.3    29    18    77  99.1   111   107   190 117.1 168.1 136.2  25.1    88 
#>  9.92 15.45 15.21  7.27 21.19 17.45 11.18 20.81 17.46 23.72 21.83  6.32 18.37 
#>    37  81.1    61  51.1 100.2 190.1 153.1    10   166  23.1    33   120   200 
#> 12.52 14.06 10.12 18.23 16.07 20.81 21.33 10.53 19.98 16.92 24.00 24.00 24.00 
#>    62   144    98   186    80 144.1   147    71  80.1    53    22   196    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   109   176 147.1   178  71.1 120.1 186.1    11    83   116   193   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    46   142 116.1 116.2    34 172.1 186.2    48   103   198    20   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75    64    38   118   138     3  34.1 109.1    65   104   126 103.1     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1 144.2   162  98.1  62.1   185 162.1  47.1 118.1 116.3    44  64.1    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.2  47.2 118.2  27.1  62.2 196.1  53.1 109.2   173    54 120.2  20.1 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161 176.1 176.2    84 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[70]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01090299                1.18826882                0.65321961 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.596569983             0.007526452             0.240747575 
#>   grade_iii, Cure model 
#>             1.039132115 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 89    11.44      1  NA        0         0
#> 29    15.45      1  68        1         0
#> 149    8.37      1  33        1         0
#> 100   16.07      1  60        0         0
#> 188   16.16      1  46        0         1
#> 37    12.52      1  57        1         0
#> 111   17.45      1  47        0         1
#> 188.1 16.16      1  46        0         1
#> 127    3.53      1  62        0         1
#> 154   12.63      1  20        1         0
#> 25     6.32      1  34        1         0
#> 85    16.44      1  36        0         0
#> 150   20.33      1  48        0         0
#> 51    18.23      1  83        0         1
#> 66    22.13      1  53        0         0
#> 4     17.64      1  NA        0         1
#> 78    23.88      1  43        0         0
#> 145   10.07      1  65        1         0
#> 88    18.37      1  47        0         0
#> 117   17.46      1  26        0         1
#> 134   17.81      1  47        1         0
#> 61    10.12      1  36        0         1
#> 183    9.24      1  67        1         0
#> 39    15.59      1  37        0         1
#> 91     5.33      1  61        0         1
#> 93    10.33      1  52        0         1
#> 188.2 16.16      1  46        0         1
#> 10    10.53      1  34        0         0
#> 85.1  16.44      1  36        0         0
#> 85.2  16.44      1  36        0         0
#> 197   21.60      1  69        1         0
#> 195   11.76      1  NA        1         0
#> 25.1   6.32      1  34        1         0
#> 4.1   17.64      1  NA        0         1
#> 110   17.56      1  65        0         1
#> 10.1  10.53      1  34        0         0
#> 18    15.21      1  49        1         0
#> 36    21.19      1  48        0         1
#> 90    20.94      1  50        0         1
#> 150.1 20.33      1  48        0         0
#> 68    20.62      1  44        0         0
#> 69    23.23      1  25        0         1
#> 170   19.54      1  43        0         1
#> 93.1  10.33      1  52        0         1
#> 106   16.67      1  49        1         0
#> 13    14.34      1  54        0         1
#> 117.1 17.46      1  26        0         1
#> 76    19.22      1  54        0         1
#> 139   21.49      1  63        1         0
#> 113   22.86      1  34        0         0
#> 23    16.92      1  61        0         0
#> 96    14.54      1  33        0         1
#> 97    19.14      1  65        0         1
#> 24    23.89      1  38        0         0
#> 179   18.63      1  42        0         0
#> 194   22.40      1  38        0         1
#> 164   23.60      1  76        0         1
#> 100.1 16.07      1  60        0         0
#> 164.1 23.60      1  76        0         1
#> 155   13.08      1  26        0         0
#> 155.1 13.08      1  26        0         0
#> 113.1 22.86      1  34        0         0
#> 60    13.15      1  38        1         0
#> 168   23.72      1  70        0         0
#> 188.3 16.16      1  46        0         1
#> 171   16.57      1  41        0         1
#> 164.2 23.60      1  76        0         1
#> 57    14.46      1  45        0         1
#> 43    12.10      1  61        0         1
#> 127.1  3.53      1  62        0         1
#> 15    22.68      1  48        0         0
#> 194.1 22.40      1  38        0         1
#> 145.1 10.07      1  65        1         0
#> 183.1  9.24      1  67        1         0
#> 55    19.34      1  69        0         1
#> 113.2 22.86      1  34        0         0
#> 89.1  11.44      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 124    9.73      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 76.1  19.22      1  54        0         1
#> 43.1  12.10      1  61        0         1
#> 70     7.38      1  30        1         0
#> 183.2  9.24      1  67        1         0
#> 26    15.77      1  49        0         1
#> 145.2 10.07      1  65        1         0
#> 179.1 18.63      1  42        0         0
#> 5     16.43      1  51        0         1
#> 29.1  15.45      1  68        1         0
#> 187    9.92      1  39        1         0
#> 164.3 23.60      1  76        0         1
#> 68.1  20.62      1  44        0         0
#> 91.1   5.33      1  61        0         1
#> 101    9.97      1  10        0         1
#> 10.2  10.53      1  34        0         0
#> 108   18.29      1  39        0         1
#> 88.1  18.37      1  47        0         0
#> 51.1  18.23      1  83        0         1
#> 24.1  23.89      1  38        0         0
#> 14    12.89      1  21        0         0
#> 41    18.02      1  40        1         0
#> 42    12.43      1  49        0         1
#> 108.1 18.29      1  39        0         1
#> 99    21.19      1  38        0         1
#> 159   10.55      1  50        0         1
#> 63    22.77      1  31        1         0
#> 123   13.00      1  44        1         0
#> 89.2  11.44      1  NA        0         0
#> 158   20.14      1  74        1         0
#> 78.1  23.88      1  43        0         0
#> 70.1   7.38      1  30        1         0
#> 42.1  12.43      1  49        0         1
#> 198   24.00      0  66        0         1
#> 54    24.00      0  53        1         0
#> 31    24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 9     24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 46    24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 31.1  24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 185   24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 156   24.00      0  50        1         0
#> 84    24.00      0  39        0         1
#> 165   24.00      0  47        0         0
#> 143   24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 200   24.00      0  64        0         0
#> 75    24.00      0  21        1         0
#> 135   24.00      0  58        1         0
#> 71    24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 151   24.00      0  42        0         0
#> 21    24.00      0  47        0         0
#> 20    24.00      0  46        1         0
#> 75.1  24.00      0  21        1         0
#> 156.1 24.00      0  50        1         0
#> 174   24.00      0  49        1         0
#> 87    24.00      0  27        0         0
#> 148   24.00      0  61        1         0
#> 84.1  24.00      0  39        0         1
#> 11    24.00      0  42        0         1
#> 7     24.00      0  37        1         0
#> 172   24.00      0  41        0         0
#> 80    24.00      0  41        0         0
#> 152.1 24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 200.1 24.00      0  64        0         0
#> 82    24.00      0  34        0         0
#> 87.1  24.00      0  27        0         0
#> 62.1  24.00      0  71        0         0
#> 151.1 24.00      0  42        0         0
#> 12    24.00      0  63        0         0
#> 172.1 24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 122   24.00      0  66        0         0
#> 82.1  24.00      0  34        0         0
#> 1     24.00      0  23        1         0
#> 17    24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 118   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 19    24.00      0  57        0         1
#> 2.1   24.00      0   9        0         0
#> 48    24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 173   24.00      0  19        0         1
#> 21.1  24.00      0  47        0         0
#> 132.1 24.00      0  55        0         0
#> 20.1  24.00      0  46        1         0
#> 62.2  24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 138.1 24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 31.2  24.00      0  36        0         1
#> 198.1 24.00      0  66        0         1
#> 162   24.00      0  51        0         0
#> 152.2 24.00      0  36        0         1
#> 21.2  24.00      0  47        0         0
#> 173.1 24.00      0  19        0         1
#> 142   24.00      0  53        0         0
#> 7.1   24.00      0  37        1         0
#> 191   24.00      0  60        0         1
#> 2.2   24.00      0   9        0         0
#> 144.1 24.00      0  28        0         1
#> 143.1 24.00      0  51        0         0
#> 48.1  24.00      0  31        1         0
#> 132.2 24.00      0  55        0         0
#> 143.2 24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 118.1 24.00      0  44        1         0
#> 54.1  24.00      0  53        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.597          NA        NA      NA
#> 2 age, Cure model          0.00753        NA        NA      NA
#> 3 grade_ii, Cure model     0.241          NA        NA      NA
#> 4 grade_iii, Cure model    1.04           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0109        NA        NA      NA
#> 2 grade_ii, Survival model    1.19          NA        NA      NA
#> 3 grade_iii, Survival model   0.653         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.596570          0.007526          0.240748          1.039132  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    266.1 
#> Residual Deviance: 255.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.596569983      0.007526452      0.240747575      1.039132115 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01090299       1.18826882       0.65321961 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.63109355 0.92756162 0.59222054 0.55463795 0.75225921 0.47728160
#>   [7] 0.55463795 0.98406340 0.74323955 0.95220494 0.51608647 0.26575008
#>  [13] 0.40728094 0.17364503 0.01498139 0.85900686 0.36620693 0.45796450
#>  [19] 0.43807170 0.85006415 0.90238316 0.62137854 0.96813262 0.83221717
#>  [25] 0.55463795 0.80553951 0.51608647 0.51608647 0.18487073 0.95220494
#>  [31] 0.44801214 0.80553951 0.65004784 0.20622294 0.22625941 0.26575008
#>  [37] 0.24615647 0.08465187 0.29606749 0.83221717 0.49683342 0.68774669
#>  [43] 0.45796450 0.31619278 0.19573620 0.09613863 0.48700984 0.66893178
#>  [49] 0.33594600 0.00329853 0.34598841 0.15249955 0.04529178 0.59222054
#>  [55] 0.04529178 0.70637610 0.70637610 0.09613863 0.69713409 0.03259289
#>  [61] 0.55463795 0.50648089 0.04529178 0.67835075 0.77891584 0.98406340
#>  [67] 0.14109257 0.15249955 0.85900686 0.90238316 0.30611452 0.09613863
#>  [73] 0.23645720 0.65946738 0.31619278 0.77891584 0.93593296 0.90238316
#>  [79] 0.61162024 0.85900686 0.34598841 0.54488278 0.63109355 0.89377023
#>  [85] 0.04529178 0.24615647 0.96813262 0.88506122 0.80553951 0.38688336
#>  [91] 0.36620693 0.40728094 0.00329853 0.73403690 0.42790859 0.76119715
#>  [97] 0.38688336 0.20622294 0.79663930 0.13004965 0.72485781 0.28595099
#> [103] 0.01498139 0.93593296 0.76119715 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    29   149   100   188    37   111 188.1   127   154    25    85   150    51 
#> 15.45  8.37 16.07 16.16 12.52 17.45 16.16  3.53 12.63  6.32 16.44 20.33 18.23 
#>    66    78   145    88   117   134    61   183    39    91    93 188.2    10 
#> 22.13 23.88 10.07 18.37 17.46 17.81 10.12  9.24 15.59  5.33 10.33 16.16 10.53 
#>  85.1  85.2   197  25.1   110  10.1    18    36    90 150.1    68    69   170 
#> 16.44 16.44 21.60  6.32 17.56 10.53 15.21 21.19 20.94 20.33 20.62 23.23 19.54 
#>  93.1   106    13 117.1    76   139   113    23    96    97    24   179   194 
#> 10.33 16.67 14.34 17.46 19.22 21.49 22.86 16.92 14.54 19.14 23.89 18.63 22.40 
#>   164 100.1 164.1   155 155.1 113.1    60   168 188.3   171 164.2    57    43 
#> 23.60 16.07 23.60 13.08 13.08 22.86 13.15 23.72 16.16 16.57 23.60 14.46 12.10 
#> 127.1    15 194.1 145.1 183.1    55 113.2    32   180  76.1  43.1    70 183.2 
#>  3.53 22.68 22.40 10.07  9.24 19.34 22.86 20.90 14.82 19.22 12.10  7.38  9.24 
#>    26 145.2 179.1     5  29.1   187 164.3  68.1  91.1   101  10.2   108  88.1 
#> 15.77 10.07 18.63 16.43 15.45  9.92 23.60 20.62  5.33  9.97 10.53 18.29 18.37 
#>  51.1  24.1    14    41    42 108.1    99   159    63   123   158  78.1  70.1 
#> 18.23 23.89 12.89 18.02 12.43 18.29 21.19 10.55 22.77 13.00 20.14 23.88  7.38 
#>  42.1   198    54    31    34     9    62    46   152  31.1   132   185     2 
#> 12.43 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156    84   165   143    44   200    75   135    71   131   151    21    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1 156.1   174    87   148  84.1    11     7   172    80 152.1   163   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1    82  87.1  62.1 151.1    12 172.1   144   122  82.1     1    17   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   118    95    19   2.1    48   137   120    64   173  21.1 132.1  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.2   146   116 138.1    98  31.2 198.1   162 152.2  21.2 173.1   142   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191   2.2 144.1 143.1  48.1 132.2 143.2   126   147 118.1  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[71]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007239893               0.556948434               0.394114489 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.73346778              0.01528774              0.23421124 
#>   grade_iii, Cure model 
#>              0.46183589 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 154   12.63      1  20        1         0
#> 79    16.23      1  54        1         0
#> 175   21.91      1  43        0         0
#> 194   22.40      1  38        0         1
#> 179   18.63      1  42        0         0
#> 169   22.41      1  46        0         0
#> 150   20.33      1  48        0         0
#> 100   16.07      1  60        0         0
#> 190   20.81      1  42        1         0
#> 117   17.46      1  26        0         1
#> 91     5.33      1  61        0         1
#> 187    9.92      1  39        1         0
#> 91.1   5.33      1  61        0         1
#> 108   18.29      1  39        0         1
#> 39    15.59      1  37        0         1
#> 123   13.00      1  44        1         0
#> 39.1  15.59      1  37        0         1
#> 154.1 12.63      1  20        1         0
#> 57    14.46      1  45        0         1
#> 6     15.64      1  39        0         0
#> 128   20.35      1  35        0         1
#> 100.1 16.07      1  60        0         0
#> 97    19.14      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 76    19.22      1  54        0         1
#> 133   14.65      1  57        0         0
#> 157   15.10      1  47        0         0
#> 40    18.00      1  28        1         0
#> 140   12.68      1  59        1         0
#> 123.1 13.00      1  44        1         0
#> 106   16.67      1  49        1         0
#> 8     18.43      1  32        0         0
#> 49    12.19      1  48        1         0
#> 153   21.33      1  55        1         0
#> 167   15.55      1  56        1         0
#> 14    12.89      1  21        0         0
#> 59    10.16      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 169.1 22.41      1  46        0         0
#> 85    16.44      1  36        0         0
#> 23    16.92      1  61        0         0
#> 125   15.65      1  67        1         0
#> 157.1 15.10      1  47        0         0
#> 25     6.32      1  34        1         0
#> 6.1   15.64      1  39        0         0
#> 168   23.72      1  70        0         0
#> 100.2 16.07      1  60        0         0
#> 37    12.52      1  57        1         0
#> 134   17.81      1  47        1         0
#> 89    11.44      1  NA        0         0
#> 157.2 15.10      1  47        0         0
#> 18    15.21      1  49        1         0
#> 56    12.21      1  60        0         0
#> 52.1  10.42      1  52        0         1
#> 16     8.71      1  71        0         1
#> 52.2  10.42      1  52        0         1
#> 36    21.19      1  48        0         1
#> 79.1  16.23      1  54        1         0
#> 195   11.76      1  NA        1         0
#> 25.1   6.32      1  34        1         0
#> 171   16.57      1  41        0         1
#> 158   20.14      1  74        1         0
#> 187.1  9.92      1  39        1         0
#> 49.1  12.19      1  48        1         0
#> 50.1  10.02      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 110   17.56      1  65        0         1
#> 169.2 22.41      1  46        0         0
#> 195.1 11.76      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 41    18.02      1  40        1         0
#> 129   23.41      1  53        1         0
#> 166   19.98      1  48        0         0
#> 170   19.54      1  43        0         1
#> 117.1 17.46      1  26        0         1
#> 18.1  15.21      1  49        1         0
#> 171.1 16.57      1  41        0         1
#> 180   14.82      1  37        0         0
#> 136   21.83      1  43        0         1
#> 41.1  18.02      1  40        1         0
#> 159   10.55      1  50        0         1
#> 90    20.94      1  50        0         1
#> 60    13.15      1  38        1         0
#> 77     7.27      1  67        0         1
#> 164   23.60      1  76        0         1
#> 68    20.62      1  44        0         0
#> 41.2  18.02      1  40        1         0
#> 43    12.10      1  61        0         1
#> 91.2   5.33      1  61        0         1
#> 92    22.92      1  47        0         1
#> 59.1  10.16      1  NA        1         0
#> 171.2 16.57      1  41        0         1
#> 101    9.97      1  10        0         1
#> 159.1 10.55      1  50        0         1
#> 125.1 15.65      1  67        1         0
#> 97.1  19.14      1  65        0         1
#> 180.1 14.82      1  37        0         0
#> 154.2 12.63      1  20        1         0
#> 192   16.44      1  31        1         0
#> 145   10.07      1  65        1         0
#> 90.1  20.94      1  50        0         1
#> 179.1 18.63      1  42        0         0
#> 41.3  18.02      1  40        1         0
#> 124    9.73      1  NA        1         0
#> 32.1  20.90      1  37        1         0
#> 101.1  9.97      1  10        0         1
#> 184   17.77      1  38        0         0
#> 125.2 15.65      1  67        1         0
#> 157.3 15.10      1  47        0         0
#> 91.3   5.33      1  61        0         1
#> 127    3.53      1  62        0         1
#> 151   24.00      0  42        0         0
#> 186   24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 193   24.00      0  45        0         1
#> 119   24.00      0  17        0         0
#> 98    24.00      0  34        1         0
#> 165   24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 135   24.00      0  58        1         0
#> 137   24.00      0  45        1         0
#> 7     24.00      0  37        1         0
#> 73    24.00      0  NA        0         1
#> 87    24.00      0  27        0         0
#> 98.1  24.00      0  34        1         0
#> 160   24.00      0  31        1         0
#> 98.2  24.00      0  34        1         0
#> 135.1 24.00      0  58        1         0
#> 173   24.00      0  19        0         1
#> 46    24.00      0  71        0         0
#> 19    24.00      0  57        0         1
#> 176   24.00      0  43        0         1
#> 176.1 24.00      0  43        0         1
#> 186.1 24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 174   24.00      0  49        1         0
#> 12    24.00      0  63        0         0
#> 182   24.00      0  35        0         0
#> 71    24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 138   24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 9     24.00      0  31        1         0
#> 173.1 24.00      0  19        0         1
#> 3     24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 196.1 24.00      0  19        0         0
#> 103   24.00      0  56        1         0
#> 109   24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 3.1   24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 196.2 24.00      0  19        0         0
#> 156   24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 11    24.00      0  42        0         1
#> 185   24.00      0  44        1         0
#> 137.1 24.00      0  45        1         0
#> 94.1  24.00      0  51        0         1
#> 151.1 24.00      0  42        0         0
#> 120   24.00      0  68        0         1
#> 193.1 24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 116.1 24.00      0  58        0         1
#> 198   24.00      0  66        0         1
#> 83.1  24.00      0   6        0         0
#> 185.1 24.00      0  44        1         0
#> 165.1 24.00      0  47        0         0
#> 12.1  24.00      0  63        0         0
#> 83.2  24.00      0   6        0         0
#> 64    24.00      0  43        0         0
#> 94.2  24.00      0  51        0         1
#> 11.1  24.00      0  42        0         1
#> 193.2 24.00      0  45        0         1
#> 109.1 24.00      0  48        0         0
#> 116.2 24.00      0  58        0         1
#> 118   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 9.1   24.00      0  31        1         0
#> 120.1 24.00      0  68        0         1
#> 156.1 24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 46.1  24.00      0  71        0         0
#> 163   24.00      0  66        0         0
#> 151.2 24.00      0  42        0         0
#> 160.1 24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 126   24.00      0  48        0         0
#> 172   24.00      0  41        0         0
#> 73.1  24.00      0  NA        0         1
#> 75    24.00      0  21        1         0
#> 176.2 24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 193.3 24.00      0  45        0         1
#> 34    24.00      0  36        0         0
#> 17    24.00      0  38        0         1
#> 138.1 24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.733         NA        NA      NA
#> 2 age, Cure model           0.0153        NA        NA      NA
#> 3 grade_ii, Cure model      0.234         NA        NA      NA
#> 4 grade_iii, Cure model     0.462         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00724        NA        NA      NA
#> 2 grade_ii, Survival model   0.557          NA        NA      NA
#> 3 grade_iii, Survival model  0.394          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.73347           0.01529           0.23421           0.46184  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 257.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.73346778       0.01528774       0.23421124       0.46183589 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007239893      0.556948434      0.394114489 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.748216927 0.480371060 0.086564900 0.076071162 0.267853632 0.048325193
#>   [7] 0.197999653 0.499137413 0.168560813 0.385331506 0.954177955 0.898604414
#>  [13] 0.954177955 0.298387288 0.575123563 0.709569247 0.575123563 0.748216927
#>  [19] 0.689998741 0.555910750 0.188189386 0.499137413 0.248062466 0.842471362
#>  [25] 0.238021852 0.680181354 0.622811720 0.346449245 0.738526938 0.709569247
#>  [31] 0.414081526 0.288036308 0.795360736 0.108156385 0.594250469 0.728819298
#>  [37] 0.149332792 0.048325193 0.461471499 0.404366619 0.527580794 0.622811720
#>  [43] 0.935757374 0.555910750 0.008802409 0.499137413 0.776361681 0.356182152
#>  [49] 0.622811720 0.603866620 0.785840977 0.842471362 0.917118939 0.842471362
#>  [55] 0.118721572 0.480371060 0.935757374 0.423745637 0.207954789 0.898604414
#>  [61] 0.795360736 0.002359246 0.375582025 0.048325193 0.451890271 0.308696022
#>  [67] 0.028797086 0.217899818 0.227979960 0.385331506 0.603866620 0.423745637
#>  [73] 0.660782266 0.097411613 0.308696022 0.823652758 0.129242743 0.699806265
#>  [79] 0.926434081 0.018343752 0.178301369 0.308696022 0.814181994 0.954177955
#>  [85] 0.038622291 0.423745637 0.879968575 0.823652758 0.527580794 0.248062466
#>  [91] 0.660782266 0.748216927 0.461471499 0.870524494 0.129242743 0.267853632
#>  [97] 0.308696022 0.149332792 0.879968575 0.365851155 0.527580794 0.622811720
#> [103] 0.954177955 0.990728527 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   154    79   175   194   179   169   150   100   190   117    91   187  91.1 
#> 12.63 16.23 21.91 22.40 18.63 22.41 20.33 16.07 20.81 17.46  5.33  9.92  5.33 
#>   108    39   123  39.1 154.1    57     6   128 100.1    97    52    76   133 
#> 18.29 15.59 13.00 15.59 12.63 14.46 15.64 20.35 16.07 19.14 10.42 19.22 14.65 
#>   157    40   140 123.1   106     8    49   153   167    14    32 169.1    85 
#> 15.10 18.00 12.68 13.00 16.67 18.43 12.19 21.33 15.55 12.89 20.90 22.41 16.44 
#>    23   125 157.1    25   6.1   168 100.2    37   134 157.2    18    56  52.1 
#> 16.92 15.65 15.10  6.32 15.64 23.72 16.07 12.52 17.81 15.10 15.21 12.21 10.42 
#>    16  52.2    36  79.1  25.1   171   158 187.1  49.1    24   110 169.2   130 
#>  8.71 10.42 21.19 16.23  6.32 16.57 20.14  9.92 12.19 23.89 17.56 22.41 16.47 
#>    41   129   166   170 117.1  18.1 171.1   180   136  41.1   159    90    60 
#> 18.02 23.41 19.98 19.54 17.46 15.21 16.57 14.82 21.83 18.02 10.55 20.94 13.15 
#>    77   164    68  41.2    43  91.2    92 171.2   101 159.1 125.1  97.1 180.1 
#>  7.27 23.60 20.62 18.02 12.10  5.33 22.92 16.57  9.97 10.55 15.65 19.14 14.82 
#> 154.2   192   145  90.1 179.1  41.3  32.1 101.1   184 125.2 157.3  91.3   127 
#> 12.63 16.44 10.07 20.94 18.63 18.02 20.90  9.97 17.77 15.65 15.10  5.33  3.53 
#>   151   186     1   193   119    98   165   146   135   137     7    87  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160  98.2 135.1   173    46    19   176 176.1 186.1    83   174    12   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71    94   138 146.1     9 173.1     3   131   196 196.1   103   109    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1   132 196.2   156   121    11   185 137.1  94.1 151.1   120 193.1   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1   198  83.1 185.1 165.1  12.1  83.2    64  94.2  11.1 193.2 109.1 116.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    74   9.1 120.1 156.1    65  46.1   163 151.2 160.1    72   126   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75 176.2    33 193.3    34    17 138.1   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[72]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005343616               0.678972125               0.486952114 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.92766893              0.02066199             -0.23993321 
#>   grade_iii, Cure model 
#>              0.56904051 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 195   11.76      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 88    18.37      1  47        0         0
#> 179   18.63      1  42        0         0
#> 190   20.81      1  42        1         0
#> 60    13.15      1  38        1         0
#> 175   21.91      1  43        0         0
#> 16     8.71      1  71        0         1
#> 164   23.60      1  76        0         1
#> 170   19.54      1  43        0         1
#> 111   17.45      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 181   16.46      1  45        0         1
#> 100   16.07      1  60        0         0
#> 45    17.42      1  54        0         1
#> 110   17.56      1  65        0         1
#> 96    14.54      1  33        0         1
#> 107.1 11.18      1  54        1         0
#> 111.1 17.45      1  47        0         1
#> 177   12.53      1  75        0         0
#> 76    19.22      1  54        0         1
#> 25     6.32      1  34        1         0
#> 114   13.68      1  NA        0         0
#> 136   21.83      1  43        0         1
#> 66    22.13      1  53        0         0
#> 91     5.33      1  61        0         1
#> 195.1 11.76      1  NA        1         0
#> 181.1 16.46      1  45        0         1
#> 168   23.72      1  70        0         0
#> 93.1  10.33      1  52        0         1
#> 111.2 17.45      1  47        0         1
#> 187    9.92      1  39        1         0
#> 179.1 18.63      1  42        0         0
#> 136.1 21.83      1  43        0         1
#> 10    10.53      1  34        0         0
#> 85    16.44      1  36        0         0
#> 79    16.23      1  54        1         0
#> 86    23.81      1  58        0         1
#> 43    12.10      1  61        0         1
#> 195.2 11.76      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 10.1  10.53      1  34        0         0
#> 59    10.16      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 69    23.23      1  25        0         1
#> 60.1  13.15      1  38        1         0
#> 105   19.75      1  60        0         0
#> 88.1  18.37      1  47        0         0
#> 24    23.89      1  38        0         0
#> 114.1 13.68      1  NA        0         0
#> 111.3 17.45      1  47        0         1
#> 42    12.43      1  49        0         1
#> 10.2  10.53      1  34        0         0
#> 180   14.82      1  37        0         0
#> 100.1 16.07      1  60        0         0
#> 169   22.41      1  46        0         0
#> 76.1  19.22      1  54        0         1
#> 55    19.34      1  69        0         1
#> 70     7.38      1  30        1         0
#> 43.1  12.10      1  61        0         1
#> 184   17.77      1  38        0         0
#> 124    9.73      1  NA        1         0
#> 96.1  14.54      1  33        0         1
#> 123   13.00      1  44        1         0
#> 50    10.02      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 168.1 23.72      1  70        0         0
#> 168.2 23.72      1  70        0         0
#> 184.1 17.77      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 108   18.29      1  39        0         1
#> 26    15.77      1  49        0         1
#> 127    3.53      1  62        0         1
#> 60.2  13.15      1  38        1         0
#> 129   23.41      1  53        1         0
#> 68    20.62      1  44        0         0
#> 79.1  16.23      1  54        1         0
#> 63    22.77      1  31        1         0
#> 29    15.45      1  68        1         0
#> 61    10.12      1  36        0         1
#> 127.1  3.53      1  62        0         1
#> 189.1 10.51      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 177.1 12.53      1  75        0         0
#> 56    12.21      1  60        0         0
#> 88.2  18.37      1  47        0         0
#> 153.1 21.33      1  55        1         0
#> 180.1 14.82      1  37        0         0
#> 41    18.02      1  40        1         0
#> 96.2  14.54      1  33        0         1
#> 197   21.60      1  69        1         0
#> 170.1 19.54      1  43        0         1
#> 110.1 17.56      1  65        0         1
#> 89    11.44      1  NA        0         0
#> 106   16.67      1  49        1         0
#> 26.1  15.77      1  49        0         1
#> 171   16.57      1  41        0         1
#> 110.2 17.56      1  65        0         1
#> 194   22.40      1  38        0         1
#> 187.1  9.92      1  39        1         0
#> 85.1  16.44      1  36        0         0
#> 183    9.24      1  67        1         0
#> 107.2 11.18      1  54        1         0
#> 134   17.81      1  47        1         0
#> 130   16.47      1  53        0         1
#> 49    12.19      1  48        1         0
#> 113   22.86      1  34        0         0
#> 39    15.59      1  37        0         1
#> 157   15.10      1  47        0         0
#> 199   19.81      1  NA        0         1
#> 117   17.46      1  26        0         1
#> 73    24.00      0  NA        0         1
#> 19    24.00      0  57        0         1
#> 48    24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 3     24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 172.1 24.00      0  41        0         0
#> 182   24.00      0  35        0         0
#> 131   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 34    24.00      0  36        0         0
#> 72    24.00      0  40        0         1
#> 83    24.00      0   6        0         0
#> 146   24.00      0  63        1         0
#> 182.1 24.00      0  35        0         0
#> 54    24.00      0  53        1         0
#> 161   24.00      0  45        0         0
#> 116   24.00      0  58        0         1
#> 138   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 12    24.00      0  63        0         0
#> 31    24.00      0  36        0         1
#> 47    24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 71    24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 20    24.00      0  46        1         0
#> 65    24.00      0  57        1         0
#> 48.1  24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 48.2  24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 73.1  24.00      0  NA        0         1
#> 142   24.00      0  53        0         0
#> 46    24.00      0  71        0         0
#> 46.1  24.00      0  71        0         0
#> 116.1 24.00      0  58        0         1
#> 186   24.00      0  45        1         0
#> 17    24.00      0  38        0         1
#> 67    24.00      0  25        0         0
#> 185.1 24.00      0  44        1         0
#> 67.1  24.00      0  25        0         0
#> 174   24.00      0  49        1         0
#> 87    24.00      0  27        0         0
#> 84    24.00      0  39        0         1
#> 172.2 24.00      0  41        0         0
#> 20.1  24.00      0  46        1         0
#> 98    24.00      0  34        1         0
#> 62    24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 200   24.00      0  64        0         0
#> 83.1  24.00      0   6        0         0
#> 1     24.00      0  23        1         0
#> 38    24.00      0  31        1         0
#> 67.2  24.00      0  25        0         0
#> 174.1 24.00      0  49        1         0
#> 160   24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 84.1  24.00      0  39        0         1
#> 74    24.00      0  43        0         1
#> 172.3 24.00      0  41        0         0
#> 173.1 24.00      0  19        0         1
#> 12.1  24.00      0  63        0         0
#> 120   24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 135.1 24.00      0  58        1         0
#> 160.1 24.00      0  31        1         0
#> 135.2 24.00      0  58        1         0
#> 19.1  24.00      0  57        0         1
#> 64    24.00      0  43        0         0
#> 182.2 24.00      0  35        0         0
#> 120.1 24.00      0  68        0         1
#> 135.3 24.00      0  58        1         0
#> 132   24.00      0  55        0         0
#> 148   24.00      0  61        1         0
#> 44.1  24.00      0  56        0         0
#> 165   24.00      0  47        0         0
#> 17.1  24.00      0  38        0         1
#> 126   24.00      0  48        0         0
#> 74.1  24.00      0  43        0         1
#> 95    24.00      0  68        0         1
#> 3.1   24.00      0  31        1         0
#> 185.2 24.00      0  44        1         0
#> 144.1 24.00      0  28        0         1
#> 193   24.00      0  45        0         1
#> 22    24.00      0  52        1         0
#> 118   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.928         NA        NA      NA
#> 2 age, Cure model           0.0207        NA        NA      NA
#> 3 grade_ii, Cure model     -0.240         NA        NA      NA
#> 4 grade_iii, Cure model     0.569         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00534        NA        NA      NA
#> 2 grade_ii, Survival model   0.679          NA        NA      NA
#> 3 grade_iii, Survival model  0.487          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.92767           0.02066          -0.23993           0.56904  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 248 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.92766893       0.02066199      -0.23993321       0.56904051 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005343616      0.678972125      0.486952114 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.896581574 0.368809504 0.337992304 0.244324668 0.736586261 0.176761730
#>   [7] 0.948799877 0.076988591 0.286900875 0.491000365 0.844158367 0.568053697
#>  [13] 0.624674424 0.529273255 0.451069659 0.709104914 0.844158367 0.491000365
#>  [19] 0.781419567 0.317823935 0.966020888 0.188908493 0.164784188 0.974556210
#>  [25] 0.568053697 0.041685485 0.896581574 0.491000365 0.922882271 0.337992304
#>  [31] 0.188908493 0.870304370 0.586949321 0.605952045 0.029262623 0.826372029
#>  [37] 0.358405840 0.870304370 0.772461072 0.104073775 0.736586261 0.276219142
#>  [43] 0.368809504 0.008594893 0.491000365 0.799368981 0.870304370 0.690397878
#>  [49] 0.624674424 0.140947459 0.317823935 0.307427575 0.957436702 0.826372029
#>  [55] 0.430736987 0.709104914 0.763456774 0.223034239 0.041685485 0.041685485
#>  [61] 0.430736987 0.008594893 0.399714109 0.643552030 0.983078496 0.736586261
#>  [67] 0.091016924 0.254940373 0.605952045 0.129098661 0.671682698 0.914106407
#>  [73] 0.983078496 0.265649562 0.781419567 0.808368988 0.368809504 0.223034239
#>  [79] 0.690397878 0.410204008 0.709104914 0.211597375 0.286900875 0.451069659
#>  [85] 0.539072490 0.643552030 0.548780391 0.451069659 0.153017864 0.922882271
#>  [91] 0.586949321 0.940154116 0.844158367 0.420537393 0.558435831 0.817396566
#>  [97] 0.116474030 0.662290910 0.681026009 0.480924170 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    93    88   179   190    60   175    16   164   170   111   107   181   100 
#> 10.33 18.37 18.63 20.81 13.15 21.91  8.71 23.60 19.54 17.45 11.18 16.46 16.07 
#>    45   110    96 107.1 111.1   177    76    25   136    66    91 181.1   168 
#> 17.42 17.56 14.54 11.18 17.45 12.53 19.22  6.32 21.83 22.13  5.33 16.46 23.72 
#>  93.1 111.2   187 179.1 136.1    10    85    79    86    43     8  10.1   140 
#> 10.33 17.45  9.92 18.63 21.83 10.53 16.44 16.23 23.81 12.10 18.43 10.53 12.68 
#>    69  60.1   105  88.1    24 111.3    42  10.2   180 100.1   169  76.1    55 
#> 23.23 13.15 19.75 18.37 23.89 17.45 12.43 10.53 14.82 16.07 22.41 19.22 19.34 
#>    70  43.1   184  96.1   123   153 168.1 168.2 184.1  24.1   108    26   127 
#>  7.38 12.10 17.77 14.54 13.00 21.33 23.72 23.72 17.77 23.89 18.29 15.77  3.53 
#>  60.2   129    68  79.1    63    29    61 127.1   158 177.1    56  88.2 153.1 
#> 13.15 23.41 20.62 16.23 22.77 15.45 10.12  3.53 20.14 12.53 12.21 18.37 21.33 
#> 180.1    41  96.2   197 170.1 110.1   106  26.1   171 110.2   194 187.1  85.1 
#> 14.82 18.02 14.54 21.60 19.54 17.56 16.67 15.77 16.57 17.56 22.40  9.92 16.44 
#>   183 107.2   134   130    49   113    39   157   117    19    48   173     3 
#>  9.24 11.18 17.81 16.47 12.19 22.86 15.59 15.10 17.46 24.00 24.00 24.00 24.00 
#>   172 172.1   182   131   104    34    72    83   146 182.1    54   161   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138    44    12    31    47     7    71   185 146.1    20    65  48.1   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.2   198   142    46  46.1 116.1   186    17    67 185.1  67.1   174    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84 172.2  20.1    98    62   135   200  83.1     1    38  67.2 174.1   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137  84.1    74 172.3 173.1  12.1   120   112 135.1 160.1 135.2  19.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.2 120.1 135.3   132   148  44.1   165  17.1   126  74.1    95   3.1 185.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1   193    22   118 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[73]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001482372               1.188511147               0.973473606 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.56254273              0.02531581              0.46569612 
#>   grade_iii, Cure model 
#>              1.08803911 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 136   21.83      1  43        0         1
#> 113   22.86      1  34        0         0
#> 88    18.37      1  47        0         0
#> 99    21.19      1  38        0         1
#> 59    10.16      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 86    23.81      1  58        0         1
#> 24    23.89      1  38        0         0
#> 13    14.34      1  54        0         1
#> 90    20.94      1  50        0         1
#> 58    19.34      1  39        0         0
#> 6     15.64      1  39        0         0
#> 187    9.92      1  39        1         0
#> 18    15.21      1  49        1         0
#> 140   12.68      1  59        1         0
#> 24.1  23.89      1  38        0         0
#> 106   16.67      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 192   16.44      1  31        1         0
#> 66    22.13      1  53        0         0
#> 39    15.59      1  37        0         1
#> 24.2  23.89      1  38        0         0
#> 52    10.42      1  52        0         1
#> 24.3  23.89      1  38        0         0
#> 168   23.72      1  70        0         0
#> 199   19.81      1  NA        0         1
#> 88.1  18.37      1  47        0         0
#> 37    12.52      1  57        1         0
#> 107   11.18      1  54        1         0
#> 14    12.89      1  21        0         0
#> 4     17.64      1  NA        0         1
#> 52.1  10.42      1  52        0         1
#> 15    22.68      1  48        0         0
#> 79    16.23      1  54        1         0
#> 49    12.19      1  48        1         0
#> 171   16.57      1  41        0         1
#> 129   23.41      1  53        1         0
#> 158   20.14      1  74        1         0
#> 93    10.33      1  52        0         1
#> 55    19.34      1  69        0         1
#> 43    12.10      1  61        0         1
#> 107.1 11.18      1  54        1         0
#> 15.1  22.68      1  48        0         0
#> 36    21.19      1  48        0         1
#> 111   17.45      1  47        0         1
#> 76    19.22      1  54        0         1
#> 168.1 23.72      1  70        0         0
#> 117   17.46      1  26        0         1
#> 124    9.73      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 164   23.60      1  76        0         1
#> 51    18.23      1  83        0         1
#> 30    17.43      1  78        0         0
#> 70     7.38      1  30        1         0
#> 92    22.92      1  47        0         1
#> 29    15.45      1  68        1         0
#> 140.1 12.68      1  59        1         0
#> 127    3.53      1  62        0         1
#> 88.2  18.37      1  47        0         0
#> 13.1  14.34      1  54        0         1
#> 183    9.24      1  67        1         0
#> 167   15.55      1  56        1         0
#> 194   22.40      1  38        0         1
#> 134.1 17.81      1  47        1         0
#> 108   18.29      1  39        0         1
#> 190   20.81      1  42        1         0
#> 40    18.00      1  28        1         0
#> 63    22.77      1  31        1         0
#> 157   15.10      1  47        0         0
#> 106.1 16.67      1  49        1         0
#> 91     5.33      1  61        0         1
#> 23    16.92      1  61        0         0
#> 25     6.32      1  34        1         0
#> 140.2 12.68      1  59        1         0
#> 106.2 16.67      1  49        1         0
#> 105   19.75      1  60        0         0
#> 16     8.71      1  71        0         1
#> 96    14.54      1  33        0         1
#> 8     18.43      1  32        0         0
#> 70.1   7.38      1  30        1         0
#> 108.1 18.29      1  39        0         1
#> 127.1  3.53      1  62        0         1
#> 175   21.91      1  43        0         0
#> 171.1 16.57      1  41        0         1
#> 130   16.47      1  53        0         1
#> 52.2  10.42      1  52        0         1
#> 90.1  20.94      1  50        0         1
#> 43.1  12.10      1  61        0         1
#> 110   17.56      1  65        0         1
#> 188   16.16      1  46        0         1
#> 57    14.46      1  45        0         1
#> 60    13.15      1  38        1         0
#> 110.1 17.56      1  65        0         1
#> 181   16.46      1  45        0         1
#> 167.1 15.55      1  56        1         0
#> 57.1  14.46      1  45        0         1
#> 199.1 19.81      1  NA        0         1
#> 45    17.42      1  54        0         1
#> 96.1  14.54      1  33        0         1
#> 199.2 19.81      1  NA        0         1
#> 110.2 17.56      1  65        0         1
#> 124.1  9.73      1  NA        1         0
#> 55.1  19.34      1  69        0         1
#> 158.1 20.14      1  74        1         0
#> 168.2 23.72      1  70        0         0
#> 52.3  10.42      1  52        0         1
#> 139   21.49      1  63        1         0
#> 26    15.77      1  49        0         1
#> 128   20.35      1  35        0         1
#> 10    10.53      1  34        0         0
#> 153   21.33      1  55        1         0
#> 109   24.00      0  48        0         0
#> 35    24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 193   24.00      0  45        0         1
#> 2     24.00      0   9        0         0
#> 118   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 21    24.00      0  47        0         0
#> 143.1 24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 44    24.00      0  56        0         0
#> 109.1 24.00      0  48        0         0
#> 53    24.00      0  32        0         1
#> 104   24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 73    24.00      0  NA        0         1
#> 141   24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 112   24.00      0  61        0         0
#> 151   24.00      0  42        0         0
#> 83.1  24.00      0   6        0         0
#> 135   24.00      0  58        1         0
#> 126   24.00      0  48        0         0
#> 178   24.00      0  52        1         0
#> 9.1   24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 163   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 162   24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 19    24.00      0  57        0         1
#> 148   24.00      0  61        1         0
#> 53.1  24.00      0  32        0         1
#> 34    24.00      0  36        0         0
#> 104.1 24.00      0  50        1         0
#> 62    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 9.2   24.00      0  31        1         0
#> 143.2 24.00      0  51        0         0
#> 191.1 24.00      0  60        0         1
#> 7     24.00      0  37        1         0
#> 75    24.00      0  21        1         0
#> 196   24.00      0  19        0         0
#> 122.1 24.00      0  66        0         0
#> 143.3 24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 160   24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 109.2 24.00      0  48        0         0
#> 178.1 24.00      0  52        1         0
#> 112.1 24.00      0  61        0         0
#> 198   24.00      0  66        0         1
#> 148.2 24.00      0  61        1         0
#> 54.1  24.00      0  53        1         0
#> 1     24.00      0  23        1         0
#> 152   24.00      0  36        0         1
#> 17    24.00      0  38        0         1
#> 176   24.00      0  43        0         1
#> 118.1 24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 31.1  24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 173.1 24.00      0  19        0         1
#> 103   24.00      0  56        1         0
#> 82.1  24.00      0  34        0         0
#> 132.1 24.00      0  55        0         0
#> 182   24.00      0  35        0         0
#> 20    24.00      0  46        1         0
#> 73.1  24.00      0  NA        0         1
#> 191.2 24.00      0  60        0         1
#> 191.3 24.00      0  60        0         1
#> 141.1 24.00      0  44        1         0
#> 165.1 24.00      0  47        0         0
#> 75.1  24.00      0  21        1         0
#> 176.1 24.00      0  43        0         1
#> 144   24.00      0  28        0         1
#> 62.1  24.00      0  71        0         0
#> 186   24.00      0  45        1         0
#> 160.1 24.00      0  31        1         0
#> 47.1  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.56          NA        NA      NA
#> 2 age, Cure model           0.0253        NA        NA      NA
#> 3 grade_ii, Cure model      0.466         NA        NA      NA
#> 4 grade_iii, Cure model     1.09          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00148        NA        NA      NA
#> 2 grade_ii, Survival model   1.19           NA        NA      NA
#> 3 grade_iii, Survival model  0.973          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.56254           0.02532           0.46570           1.08804  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 246.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.56254273       0.02531581       0.46569612       1.08803911 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001482372      1.188511147      0.973473606 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.41737322 0.30702099 0.60412091 0.45787086 0.89968558 0.15009030
#>   [7] 0.05210653 0.86405131 0.48101338 0.55138757 0.80290019 0.96091246
#>  [13] 0.83157675 0.88480350 0.05210653 0.73407296 0.66242441 0.77885118
#>  [19] 0.38716241 0.80880888 0.05210653 0.93819281 0.05210653 0.17631445
#>  [25] 0.60412091 0.90467680 0.92408762 0.87963939 0.93819281 0.34077655
#>  [31] 0.78498499 0.90961310 0.75357154 0.26974210 0.52324218 0.95636757
#>  [37] 0.55138757 0.91449492 0.92408762 0.34077655 0.45787086 0.70614380
#>  [43] 0.57802154 0.17631445 0.69901559 0.58684088 0.24685685 0.64628349
#>  [49] 0.71316785 0.97430301 0.28926125 0.82597312 0.88480350 0.99156218
#>  [55] 0.60412091 0.86405131 0.96541269 0.81465327 0.37211891 0.66242441
#>  [61] 0.62975362 0.50263934 0.65446085 0.32483164 0.83710396 0.73407296
#>  [67] 0.98728263 0.72713335 0.98297660 0.88480350 0.73407296 0.54194173
#>  [73] 0.96987193 0.84263362 0.59547799 0.97430301 0.62975362 0.99156218
#>  [79] 0.40225027 0.75357154 0.76629854 0.93819281 0.48101338 0.91449492
#>  [85] 0.67751255 0.79102303 0.85344164 0.87447621 0.67751255 0.77261250
#>  [91] 0.81465327 0.85344164 0.72019946 0.84263362 0.67751255 0.55138757
#>  [97] 0.52324218 0.17631445 0.93819281 0.43172479 0.79699395 0.51309720
#> [103] 0.93348238 0.44518617 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   136   113    88    99   177    86    24    13    90    58     6   187    18 
#> 21.83 22.86 18.37 21.19 12.53 23.81 23.89 14.34 20.94 19.34 15.64  9.92 15.21 
#>   140  24.1   106   134   192    66    39  24.2    52  24.3   168  88.1    37 
#> 12.68 23.89 16.67 17.81 16.44 22.13 15.59 23.89 10.42 23.89 23.72 18.37 12.52 
#>   107    14  52.1    15    79    49   171   129   158    93    55    43 107.1 
#> 11.18 12.89 10.42 22.68 16.23 12.19 16.57 23.41 20.14 10.33 19.34 12.10 11.18 
#>  15.1    36   111    76 168.1   117    97   164    51    30    70    92    29 
#> 22.68 21.19 17.45 19.22 23.72 17.46 19.14 23.60 18.23 17.43  7.38 22.92 15.45 
#> 140.1   127  88.2  13.1   183   167   194 134.1   108   190    40    63   157 
#> 12.68  3.53 18.37 14.34  9.24 15.55 22.40 17.81 18.29 20.81 18.00 22.77 15.10 
#> 106.1    91    23    25 140.2 106.2   105    16    96     8  70.1 108.1 127.1 
#> 16.67  5.33 16.92  6.32 12.68 16.67 19.75  8.71 14.54 18.43  7.38 18.29  3.53 
#>   175 171.1   130  52.2  90.1  43.1   110   188    57    60 110.1   181 167.1 
#> 21.91 16.57 16.47 10.42 20.94 12.10 17.56 16.16 14.46 13.15 17.56 16.46 15.55 
#>  57.1    45  96.1 110.2  55.1 158.1 168.2  52.3   139    26   128    10   153 
#> 14.46 17.42 14.54 17.56 19.34 20.14 23.72 10.42 21.49 15.77 20.35 10.53 21.33 
#>   109    35   120   143    95   132   193     2   118   165    12    21 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9    82    44 109.1    53   104    83   141   122   191   112   151  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   126   178   9.1   121   163   173   162    54    19   148  53.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1    62    31   9.2 143.2 191.1     7    75   196 122.1 143.3    38 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160   142 109.2 178.1 112.1   198 148.2  54.1     1   152    17   176 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146  31.1    71    47 173.1   103  82.1 132.1   182    20 191.2 191.3 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1  75.1 176.1   144  62.1   186 160.1  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[74]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0003324579              0.2461070262              0.2588618887 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.409957663             0.007091382             0.305138250 
#>   grade_iii, Cure model 
#>             0.355158281 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 92    22.92      1  47        0         1
#> 61    10.12      1  36        0         1
#> 70     7.38      1  30        1         0
#> 188   16.16      1  46        0         1
#> 110   17.56      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 15    22.68      1  48        0         0
#> 139   21.49      1  63        1         0
#> 40    18.00      1  28        1         0
#> 78    23.88      1  43        0         0
#> 5     16.43      1  51        0         1
#> 179   18.63      1  42        0         0
#> 190   20.81      1  42        1         0
#> 25     6.32      1  34        1         0
#> 69    23.23      1  25        0         1
#> 13    14.34      1  54        0         1
#> 180   14.82      1  37        0         0
#> 145   10.07      1  65        1         0
#> 85    16.44      1  36        0         0
#> 14    12.89      1  21        0         0
#> 15.1  22.68      1  48        0         0
#> 63    22.77      1  31        1         0
#> 199   19.81      1  NA        0         1
#> 158   20.14      1  74        1         0
#> 149    8.37      1  33        1         0
#> 192   16.44      1  31        1         0
#> 134   17.81      1  47        1         0
#> 195.1 11.76      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 153   21.33      1  55        1         0
#> 43    12.10      1  61        0         1
#> 199.1 19.81      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 85.1  16.44      1  36        0         0
#> 154   12.63      1  20        1         0
#> 6     15.64      1  39        0         0
#> 180.1 14.82      1  37        0         0
#> 134.1 17.81      1  47        1         0
#> 153.1 21.33      1  55        1         0
#> 52    10.42      1  52        0         1
#> 70.1   7.38      1  30        1         0
#> 177   12.53      1  75        0         0
#> 125   15.65      1  67        1         0
#> 184   17.77      1  38        0         0
#> 81    14.06      1  34        0         0
#> 164   23.60      1  76        0         1
#> 42    12.43      1  49        0         1
#> 129   23.41      1  53        1         0
#> 175   21.91      1  43        0         0
#> 63.1  22.77      1  31        1         0
#> 158.1 20.14      1  74        1         0
#> 125.1 15.65      1  67        1         0
#> 40.1  18.00      1  28        1         0
#> 76    19.22      1  54        0         1
#> 50.1  10.02      1  NA        1         0
#> 158.2 20.14      1  74        1         0
#> 154.1 12.63      1  20        1         0
#> 52.1  10.42      1  52        0         1
#> 59    10.16      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 117   17.46      1  26        0         1
#> 179.1 18.63      1  42        0         0
#> 79    16.23      1  54        1         0
#> 194   22.40      1  38        0         1
#> 32    20.90      1  37        1         0
#> 86    23.81      1  58        0         1
#> 127    3.53      1  62        0         1
#> 183    9.24      1  67        1         0
#> 99    21.19      1  38        0         1
#> 157   15.10      1  47        0         0
#> 158.3 20.14      1  74        1         0
#> 32.1  20.90      1  37        1         0
#> 6.1   15.64      1  39        0         0
#> 150   20.33      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 23    16.92      1  61        0         0
#> 169   22.41      1  46        0         0
#> 13.1  14.34      1  54        0         1
#> 197.1 21.60      1  69        1         0
#> 23.1  16.92      1  61        0         0
#> 39    15.59      1  37        0         1
#> 158.4 20.14      1  74        1         0
#> 29    15.45      1  68        1         0
#> 63.2  22.77      1  31        1         0
#> 50.2  10.02      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 114   13.68      1  NA        0         0
#> 55    19.34      1  69        0         1
#> 130   16.47      1  53        0         1
#> 183.1  9.24      1  67        1         0
#> 124    9.73      1  NA        1         0
#> 114.1 13.68      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 195.2 11.76      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 91.1   5.33      1  61        0         1
#> 113   22.86      1  34        0         0
#> 108   18.29      1  39        0         1
#> 29.1  15.45      1  68        1         0
#> 25.1   6.32      1  34        1         0
#> 101    9.97      1  10        0         1
#> 89.1  11.44      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 128.1 20.35      1  35        0         1
#> 177.1 12.53      1  75        0         0
#> 194.1 22.40      1  38        0         1
#> 77     7.27      1  67        0         1
#> 106   16.67      1  49        1         0
#> 75    24.00      0  21        1         0
#> 17    24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 116   24.00      0  58        0         1
#> 98    24.00      0  34        1         0
#> 173   24.00      0  19        0         1
#> 19    24.00      0  57        0         1
#> 174   24.00      0  49        1         0
#> 3     24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 12    24.00      0  63        0         0
#> 146   24.00      0  63        1         0
#> 122   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 178   24.00      0  52        1         0
#> 186   24.00      0  45        1         0
#> 44    24.00      0  56        0         0
#> 144   24.00      0  28        0         1
#> 200   24.00      0  64        0         0
#> 198   24.00      0  66        0         1
#> 54    24.00      0  53        1         0
#> 122.1 24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 191   24.00      0  60        0         1
#> 115   24.00      0  NA        1         0
#> 103   24.00      0  56        1         0
#> 82    24.00      0  34        0         0
#> 38.1  24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 118   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 54.1  24.00      0  53        1         0
#> 3.1   24.00      0  31        1         0
#> 38.2  24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 143   24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 17.1  24.00      0  38        0         1
#> 186.1 24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 82.1  24.00      0  34        0         0
#> 65    24.00      0  57        1         0
#> 200.1 24.00      0  64        0         0
#> 33    24.00      0  53        0         0
#> 47    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 141   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 34    24.00      0  36        0         0
#> 12.1  24.00      0  63        0         0
#> 143.1 24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 146.1 24.00      0  63        1         0
#> 11    24.00      0  42        0         1
#> 122.2 24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 151   24.00      0  42        0         0
#> 74    24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 104.1 24.00      0  50        1         0
#> 74.1  24.00      0  43        0         1
#> 126   24.00      0  48        0         0
#> 74.2  24.00      0  43        0         1
#> 71    24.00      0  51        0         0
#> 11.1  24.00      0  42        0         1
#> 198.1 24.00      0  66        0         1
#> 191.1 24.00      0  60        0         1
#> 131   24.00      0  66        0         0
#> 73.1  24.00      0  NA        0         1
#> 118.1 24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 72.1  24.00      0  40        0         1
#> 174.1 24.00      0  49        1         0
#> 73.2  24.00      0  NA        0         1
#> 185   24.00      0  44        1         0
#> 72.2  24.00      0  40        0         1
#> 98.1  24.00      0  34        1         0
#> 141.1 24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 98.2  24.00      0  34        1         0
#> 53.1  24.00      0  32        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.410          NA        NA      NA
#> 2 age, Cure model          0.00709        NA        NA      NA
#> 3 grade_ii, Cure model     0.305          NA        NA      NA
#> 4 grade_iii, Cure model    0.355          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000332        NA        NA      NA
#> 2 grade_ii, Survival model  0.246           NA        NA      NA
#> 3 grade_iii, Survival model 0.259           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.409958          0.007091          0.305138          0.355158  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    251.2 
#> Residual Deviance: 249.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.409957663      0.007091382      0.305138250      0.355158281 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0003324579     0.2461070262     0.2588618887 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.11313337 0.87406223 0.93355966 0.64476209 0.54290240 0.24828584
#>   [7] 0.17614268 0.27105768 0.49549313 0.03051309 0.62638826 0.46637413
#>  [13] 0.34763965 0.95865258 0.09862141 0.75215320 0.72551372 0.88265055
#>  [19] 0.59904558 0.77852702 0.17614268 0.14101735 0.38924356 0.92511762
#>  [25] 0.59904558 0.51454903 0.89975145 0.28254252 0.83966366 0.43676006
#>  [31] 0.77852702 0.59904558 0.79607273 0.67185921 0.72551372 0.51454903
#>  [37] 0.28254252 0.85691783 0.93355966 0.81350794 0.65388802 0.53339621
#>  [43] 0.76970279 0.06736819 0.83093374 0.08343042 0.23627888 0.14101735
#>  [49] 0.38924356 0.65388802 0.49549313 0.45657165 0.38924356 0.79607273
#>  [55] 0.85691783 0.97524082 0.83966366 0.55235501 0.46637413 0.63559524
#>  [61] 0.21285866 0.32652736 0.04997227 0.99173871 0.90826571 0.30451688
#>  [67] 0.71658291 0.38924356 0.32652736 0.67185921 0.37882444 0.56175827
#>  [73] 0.20036779 0.75215320 0.24828584 0.56175827 0.68982415 0.38924356
#>  [79] 0.69882912 0.14101735 0.74326007 0.44670160 0.58974366 0.90826571
#>  [85] 0.31558295 0.35826384 0.97524082 0.12708328 0.48576184 0.69882912
#>  [91] 0.95865258 0.89121329 0.01136695 0.35826384 0.81350794 0.21285866
#>  [97] 0.95027956 0.58039478 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000
#> 
#> $Time
#>    92    61    70   188   110   197    15   139    40    78     5   179   190 
#> 22.92 10.12  7.38 16.16 17.56 21.60 22.68 21.49 18.00 23.88 16.43 18.63 20.81 
#>    25    69    13   180   145    85    14  15.1    63   158   149   192   134 
#>  6.32 23.23 14.34 14.82 10.07 16.44 12.89 22.68 22.77 20.14  8.37 16.44 17.81 
#>   187   153    43   105  14.1  85.1   154     6 180.1 134.1 153.1    52  70.1 
#>  9.92 21.33 12.10 19.75 12.89 16.44 12.63 15.64 14.82 17.81 21.33 10.42  7.38 
#>   177   125   184    81   164    42   129   175  63.1 158.1 125.1  40.1    76 
#> 12.53 15.65 17.77 14.06 23.60 12.43 23.41 21.91 22.77 20.14 15.65 18.00 19.22 
#> 158.2 154.1  52.1    91  43.1   117 179.1    79   194    32    86   127   183 
#> 20.14 12.63 10.42  5.33 12.10 17.46 18.63 16.23 22.40 20.90 23.81  3.53  9.24 
#>    99   157 158.3  32.1   6.1   150    23   169  13.1 197.1  23.1    39 158.4 
#> 21.19 15.10 20.14 20.90 15.64 20.33 16.92 22.41 14.34 21.60 16.92 15.59 20.14 
#>    29  63.2    57    55   130 183.1    90   128  91.1   113   108  29.1  25.1 
#> 15.45 22.77 14.46 19.34 16.47  9.24 20.94 20.35  5.33 22.86 18.29 15.45  6.32 
#>   101    24 128.1 177.1 194.1    77   106    75    17    72   116    98   173 
#>  9.97 23.89 20.35 12.53 22.40  7.27 16.67 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   174     3    38    64    12   146   122    84   178   186    44   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200   198    54 122.1     7   191   103    82  38.1     9   172   118    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.1   3.1  38.2     2   143  17.1 186.1    53  82.1    65 200.1    33    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147   141   104   165   112    34  12.1 143.1   142   152   163 146.1    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.2    94   151    74    67 104.1  74.1   126  74.2    71  11.1 198.1 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131 118.1    21  72.1 174.1   185  72.2  98.1 141.1   137    95  98.2  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[75]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004478984               1.042756660               0.434804463 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.409491747             0.011459203             0.009002254 
#>   grade_iii, Cure model 
#>             0.209550844 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 24    23.89      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 10    10.53      1  34        0         0
#> 63    22.77      1  31        1         0
#> 180   14.82      1  37        0         0
#> 170   19.54      1  43        0         1
#> 179   18.63      1  42        0         0
#> 55    19.34      1  69        0         1
#> 93    10.33      1  52        0         1
#> 24.1  23.89      1  38        0         0
#> 157   15.10      1  47        0         0
#> 23    16.92      1  61        0         0
#> 199.1 19.81      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 45    17.42      1  54        0         1
#> 26    15.77      1  49        0         1
#> 158   20.14      1  74        1         0
#> 100   16.07      1  60        0         0
#> 29    15.45      1  68        1         0
#> 45.1  17.42      1  54        0         1
#> 127    3.53      1  62        0         1
#> 92    22.92      1  47        0         1
#> 184   17.77      1  38        0         0
#> 130   16.47      1  53        0         1
#> 194   22.40      1  38        0         1
#> 70     7.38      1  30        1         0
#> 92.1  22.92      1  47        0         1
#> 183    9.24      1  67        1         0
#> 167   15.55      1  56        1         0
#> 105.1 19.75      1  60        0         0
#> 183.1  9.24      1  67        1         0
#> 117   17.46      1  26        0         1
#> 180.1 14.82      1  37        0         0
#> 26.1  15.77      1  49        0         1
#> 60    13.15      1  38        1         0
#> 170.1 19.54      1  43        0         1
#> 78    23.88      1  43        0         0
#> 192   16.44      1  31        1         0
#> 134   17.81      1  47        1         0
#> 101    9.97      1  10        0         1
#> 168   23.72      1  70        0         0
#> 145   10.07      1  65        1         0
#> 169   22.41      1  46        0         0
#> 66    22.13      1  53        0         0
#> 168.1 23.72      1  70        0         0
#> 159   10.55      1  50        0         1
#> 157.1 15.10      1  47        0         0
#> 23.1  16.92      1  61        0         0
#> 179.1 18.63      1  42        0         0
#> 194.1 22.40      1  38        0         1
#> 159.1 10.55      1  50        0         1
#> 175   21.91      1  43        0         0
#> 149    8.37      1  33        1         0
#> 37    12.52      1  57        1         0
#> 56    12.21      1  60        0         0
#> 18    15.21      1  49        1         0
#> 91     5.33      1  61        0         1
#> 99    21.19      1  38        0         1
#> 45.2  17.42      1  54        0         1
#> 192.1 16.44      1  31        1         0
#> 56.1  12.21      1  60        0         0
#> 158.1 20.14      1  74        1         0
#> 26.2  15.77      1  49        0         1
#> 29.1  15.45      1  68        1         0
#> 192.2 16.44      1  31        1         0
#> 56.2  12.21      1  60        0         0
#> 91.1   5.33      1  61        0         1
#> 188   16.16      1  46        0         1
#> 92.2  22.92      1  47        0         1
#> 183.2  9.24      1  67        1         0
#> 194.2 22.40      1  38        0         1
#> 26.3  15.77      1  49        0         1
#> 81    14.06      1  34        0         0
#> 133   14.65      1  57        0         0
#> 155   13.08      1  26        0         0
#> 79    16.23      1  54        1         0
#> 24.2  23.89      1  38        0         0
#> 57    14.46      1  45        0         1
#> 66.1  22.13      1  53        0         0
#> 189   10.51      1  NA        1         0
#> 188.1 16.16      1  46        0         1
#> 113   22.86      1  34        0         0
#> 179.2 18.63      1  42        0         0
#> 26.4  15.77      1  49        0         1
#> 90    20.94      1  50        0         1
#> 140   12.68      1  59        1         0
#> 6     15.64      1  39        0         0
#> 90.1  20.94      1  50        0         1
#> 50    10.02      1  NA        1         0
#> 179.3 18.63      1  42        0         0
#> 99.1  21.19      1  38        0         1
#> 23.2  16.92      1  61        0         0
#> 58    19.34      1  39        0         0
#> 114   13.68      1  NA        0         0
#> 14    12.89      1  21        0         0
#> 13    14.34      1  54        0         1
#> 60.1  13.15      1  38        1         0
#> 107   11.18      1  54        1         0
#> 78.1  23.88      1  43        0         0
#> 108   18.29      1  39        0         1
#> 45.3  17.42      1  54        0         1
#> 23.3  16.92      1  61        0         0
#> 60.2  13.15      1  38        1         0
#> 81.1  14.06      1  34        0         0
#> 5     16.43      1  51        0         1
#> 136   21.83      1  43        0         1
#> 18.1  15.21      1  49        1         0
#> 159.2 10.55      1  50        0         1
#> 167.1 15.55      1  56        1         0
#> 81.2  14.06      1  34        0         0
#> 168.2 23.72      1  70        0         0
#> 134.1 17.81      1  47        1         0
#> 87    24.00      0  27        0         0
#> 47    24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 84    24.00      0  39        0         1
#> 200   24.00      0  64        0         0
#> 84.1  24.00      0  39        0         1
#> 72    24.00      0  40        0         1
#> 109   24.00      0  48        0         0
#> 48    24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 54    24.00      0  53        1         0
#> 193   24.00      0  45        0         1
#> 143   24.00      0  51        0         0
#> 135.1 24.00      0  58        1         0
#> 65    24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 22.1  24.00      0  52        1         0
#> 46    24.00      0  71        0         0
#> 71    24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 198   24.00      0  66        0         1
#> 94    24.00      0  51        0         1
#> 19    24.00      0  57        0         1
#> 75    24.00      0  21        1         0
#> 146   24.00      0  63        1         0
#> 121   24.00      0  57        1         0
#> 95    24.00      0  68        0         1
#> 162   24.00      0  51        0         0
#> 65.1  24.00      0  57        1         0
#> 11    24.00      0  42        0         1
#> 163   24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 84.2  24.00      0  39        0         1
#> 143.1 24.00      0  51        0         0
#> 143.2 24.00      0  51        0         0
#> 74.1  24.00      0  43        0         1
#> 38    24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 3     24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 191   24.00      0  60        0         1
#> 185   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 182   24.00      0  35        0         0
#> 12    24.00      0  63        0         0
#> 83    24.00      0   6        0         0
#> 83.1  24.00      0   6        0         0
#> 84.3  24.00      0  39        0         1
#> 119   24.00      0  17        0         0
#> 198.1 24.00      0  66        0         1
#> 109.1 24.00      0  48        0         0
#> 144   24.00      0  28        0         1
#> 118.1 24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 109.2 24.00      0  48        0         0
#> 161   24.00      0  45        0         0
#> 103   24.00      0  56        1         0
#> 185.1 24.00      0  44        1         0
#> 65.2  24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 67    24.00      0  25        0         0
#> 126.1 24.00      0  48        0         0
#> 144.1 24.00      0  28        0         1
#> 191.1 24.00      0  60        0         1
#> 142   24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 174   24.00      0  49        1         0
#> 186   24.00      0  45        1         0
#> 162.1 24.00      0  51        0         0
#> 11.1  24.00      0  42        0         1
#> 193.1 24.00      0  45        0         1
#> 115   24.00      0  NA        1         0
#> 74.2  24.00      0  43        0         1
#> 126.2 24.00      0  48        0         0
#> 109.3 24.00      0  48        0         0
#> 162.2 24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 31    24.00      0  36        0         1
#> 11.2  24.00      0  42        0         1
#> 11.3  24.00      0  42        0         1
#> 196   24.00      0  19        0         0
#> 144.2 24.00      0  28        0         1
#> 35    24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.409          NA        NA      NA
#> 2 age, Cure model          0.0115         NA        NA      NA
#> 3 grade_ii, Cure model     0.00900        NA        NA      NA
#> 4 grade_iii, Cure model    0.210          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00448        NA        NA      NA
#> 2 grade_ii, Survival model   1.04           NA        NA      NA
#> 3 grade_iii, Survival model  0.435          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.409492          0.011459          0.009002          0.209551  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 265.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.409491747      0.011459203      0.009002254      0.209550844 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004478984      1.042756660      0.434804463 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.05305502 0.94372508 0.29748364 0.82688506 0.50271968 0.53996532
#>   [7] 0.52155767 0.94869786 0.05305502 0.81556630 0.64875994 0.48324496
#>  [13] 0.61791769 0.74196192 0.46352537 0.73523373 0.79243367 0.61791769
#>  [19] 0.99550080 0.23197531 0.60130258 0.67914864 0.32746842 0.98191688
#>  [25] 0.23197531 0.96338556 0.78013640 0.48324496 0.96338556 0.60965176
#>  [31] 0.82688506 0.74196192 0.87162416 0.50271968 0.12332517 0.68679335
#>  [37] 0.58467761 0.95852340 0.17229247 0.95364600 0.31255821 0.36602372
#>  [43] 0.17229247 0.92887241 0.81556630 0.64875994 0.53996532 0.32746842
#>  [49] 0.92887241 0.39170981 0.97730517 0.90337080 0.90852472 0.80421062
#>  [55] 0.98648048 0.41729498 0.61791769 0.68679335 0.90852472 0.46352537
#>  [61] 0.74196192 0.79243367 0.68679335 0.90852472 0.98648048 0.72180119
#>  [67] 0.23197531 0.96338556 0.32746842 0.74196192 0.85503369 0.83817597
#>  [73] 0.88750045 0.71493814 0.05305502 0.84382945 0.36602372 0.72180119
#>  [79] 0.28046058 0.53996532 0.74196192 0.44097444 0.89813739 0.77369357
#>  [85] 0.44097444 0.53996532 0.41729498 0.64875994 0.52155767 0.89282048
#>  [91] 0.84944944 0.87162416 0.92381915 0.12332517 0.57565904 0.61791769
#>  [97] 0.64875994 0.87162416 0.85503369 0.70789849 0.40467880 0.80421062
#> [103] 0.92887241 0.78013640 0.85503369 0.17229247 0.58467761 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    24    10    63   180   170   179    55    93  24.1   157    23   105    45 
#> 23.89 10.53 22.77 14.82 19.54 18.63 19.34 10.33 23.89 15.10 16.92 19.75 17.42 
#>    26   158   100    29  45.1   127    92   184   130   194    70  92.1   183 
#> 15.77 20.14 16.07 15.45 17.42  3.53 22.92 17.77 16.47 22.40  7.38 22.92  9.24 
#>   167 105.1 183.1   117 180.1  26.1    60 170.1    78   192   134   101   168 
#> 15.55 19.75  9.24 17.46 14.82 15.77 13.15 19.54 23.88 16.44 17.81  9.97 23.72 
#>   145   169    66 168.1   159 157.1  23.1 179.1 194.1 159.1   175   149    37 
#> 10.07 22.41 22.13 23.72 10.55 15.10 16.92 18.63 22.40 10.55 21.91  8.37 12.52 
#>    56    18    91    99  45.2 192.1  56.1 158.1  26.2  29.1 192.2  56.2  91.1 
#> 12.21 15.21  5.33 21.19 17.42 16.44 12.21 20.14 15.77 15.45 16.44 12.21  5.33 
#>   188  92.2 183.2 194.2  26.3    81   133   155    79  24.2    57  66.1 188.1 
#> 16.16 22.92  9.24 22.40 15.77 14.06 14.65 13.08 16.23 23.89 14.46 22.13 16.16 
#>   113 179.2  26.4    90   140     6  90.1 179.3  99.1  23.2    58    14    13 
#> 22.86 18.63 15.77 20.94 12.68 15.64 20.94 18.63 21.19 16.92 19.34 12.89 14.34 
#>  60.1   107  78.1   108  45.3  23.3  60.2  81.1     5   136  18.1 159.2 167.1 
#> 13.15 11.18 23.88 18.29 17.42 16.92 13.15 14.06 16.43 21.83 15.21 10.55 15.55 
#>  81.2 168.2 134.1    87    47    74    84   200  84.1    72   109    48   172 
#> 14.06 23.72 17.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131    80   126   135    54   193   143 135.1    65   118    22  22.1    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   151   198    94    19    75   146   121    95   162  65.1    11   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1  84.2 143.1 143.2  74.1    38     1     3  72.1   191   185   112   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12    83  83.1  84.3   119 198.1 109.1   144 118.1   122 109.2   161   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1  65.2   137    67 126.1 144.1 191.1   142    62   174   186 162.1  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1  74.2 126.2 109.3 162.2   116    31  11.2  11.3   196 144.2    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[76]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007950304               0.335502739               0.359759634 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.65450048              0.01260863              0.04318194 
#>   grade_iii, Cure model 
#>              0.98873445 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 154   12.63      1  20        1         0
#> 59    10.16      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 181   16.46      1  45        0         1
#> 92    22.92      1  47        0         1
#> 133   14.65      1  57        0         0
#> 158   20.14      1  74        1         0
#> 14    12.89      1  21        0         0
#> 139   21.49      1  63        1         0
#> 136   21.83      1  43        0         1
#> 99    21.19      1  38        0         1
#> 85    16.44      1  36        0         0
#> 45    17.42      1  54        0         1
#> 5     16.43      1  51        0         1
#> 125   15.65      1  67        1         0
#> 188   16.16      1  46        0         1
#> 24    23.89      1  38        0         0
#> 50    10.02      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 139.1 21.49      1  63        1         0
#> 4     17.64      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 59.1  10.16      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 105   19.75      1  60        0         0
#> 127    3.53      1  62        0         1
#> 90    20.94      1  50        0         1
#> 57    14.46      1  45        0         1
#> 70     7.38      1  30        1         0
#> 50.1  10.02      1  NA        1         0
#> 188.1 16.16      1  46        0         1
#> 175   21.91      1  43        0         0
#> 79    16.23      1  54        1         0
#> 81    14.06      1  34        0         0
#> 88    18.37      1  47        0         0
#> 183.1  9.24      1  67        1         0
#> 79.1  16.23      1  54        1         0
#> 23    16.92      1  61        0         0
#> 113   22.86      1  34        0         0
#> 56    12.21      1  60        0         0
#> 199.1 19.81      1  NA        0         1
#> 153   21.33      1  55        1         0
#> 170   19.54      1  43        0         1
#> 113.1 22.86      1  34        0         0
#> 113.2 22.86      1  34        0         0
#> 123   13.00      1  44        1         0
#> 86    23.81      1  58        0         1
#> 127.1  3.53      1  62        0         1
#> 40    18.00      1  28        1         0
#> 192   16.44      1  31        1         0
#> 61    10.12      1  36        0         1
#> 133.1 14.65      1  57        0         0
#> 145   10.07      1  65        1         0
#> 106   16.67      1  49        1         0
#> 175.1 21.91      1  43        0         0
#> 42    12.43      1  49        0         1
#> 63    22.77      1  31        1         0
#> 61.1  10.12      1  36        0         1
#> 187    9.92      1  39        1         0
#> 85.1  16.44      1  36        0         0
#> 61.2  10.12      1  36        0         1
#> 63.1  22.77      1  31        1         0
#> 188.2 16.16      1  46        0         1
#> 79.2  16.23      1  54        1         0
#> 188.3 16.16      1  46        0         1
#> 10    10.53      1  34        0         0
#> 8     18.43      1  32        0         0
#> 29    15.45      1  68        1         0
#> 125.1 15.65      1  67        1         0
#> 157   15.10      1  47        0         0
#> 139.2 21.49      1  63        1         0
#> 56.1  12.21      1  60        0         0
#> 40.1  18.00      1  28        1         0
#> 158.1 20.14      1  74        1         0
#> 40.2  18.00      1  28        1         0
#> 49    12.19      1  48        1         0
#> 43.1  12.10      1  61        0         1
#> 97    19.14      1  65        0         1
#> 184   17.77      1  38        0         0
#> 129   23.41      1  53        1         0
#> 59.2  10.16      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 68    20.62      1  44        0         0
#> 60    13.15      1  38        1         0
#> 179   18.63      1  42        0         0
#> 30    17.43      1  78        0         0
#> 136.1 21.83      1  43        0         1
#> 13    14.34      1  54        0         1
#> 175.2 21.91      1  43        0         0
#> 105.1 19.75      1  60        0         0
#> 171   16.57      1  41        0         1
#> 169.1 22.41      1  46        0         0
#> 37    12.52      1  57        1         0
#> 153.1 21.33      1  55        1         0
#> 170.1 19.54      1  43        0         1
#> 113.3 22.86      1  34        0         0
#> 77     7.27      1  67        0         1
#> 90.1  20.94      1  50        0         1
#> 88.1  18.37      1  47        0         0
#> 136.2 21.83      1  43        0         1
#> 179.1 18.63      1  42        0         0
#> 199.2 19.81      1  NA        0         1
#> 6     15.64      1  39        0         0
#> 42.1  12.43      1  49        0         1
#> 199.3 19.81      1  NA        0         1
#> 10.1  10.53      1  34        0         0
#> 32    20.90      1  37        1         0
#> 171.1 16.57      1  41        0         1
#> 187.1  9.92      1  39        1         0
#> 167.1 15.55      1  56        1         0
#> 197   21.60      1  69        1         0
#> 71    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 84    24.00      0  39        0         1
#> 64    24.00      0  43        0         0
#> 156   24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 200   24.00      0  64        0         0
#> 147   24.00      0  76        1         0
#> 200.1 24.00      0  64        0         0
#> 38    24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 82    24.00      0  34        0         0
#> 20    24.00      0  46        1         0
#> 152   24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 3     24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 138.1 24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 142   24.00      0  53        0         0
#> 185   24.00      0  44        1         0
#> 185.1 24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 94    24.00      0  51        0         1
#> 196   24.00      0  19        0         0
#> 126   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 174.1 24.00      0  49        1         0
#> 143   24.00      0  51        0         0
#> 161.1 24.00      0  45        0         0
#> 83    24.00      0   6        0         0
#> 11    24.00      0  42        0         1
#> 71.1  24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 27    24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 21    24.00      0  47        0         0
#> 82.1  24.00      0  34        0         0
#> 112   24.00      0  61        0         0
#> 162   24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 193   24.00      0  45        0         1
#> 156.1 24.00      0  50        1         0
#> 185.2 24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 126.1 24.00      0  48        0         0
#> 54    24.00      0  53        1         0
#> 141.1 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 46    24.00      0  71        0         0
#> 185.3 24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 54.1  24.00      0  53        1         0
#> 53    24.00      0  32        0         1
#> 174.2 24.00      0  49        1         0
#> 147.1 24.00      0  76        1         0
#> 147.2 24.00      0  76        1         0
#> 48    24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 72    24.00      0  40        0         1
#> 200.2 24.00      0  64        0         0
#> 73    24.00      0  NA        0         1
#> 193.1 24.00      0  45        0         1
#> 147.3 24.00      0  76        1         0
#> 67.1  24.00      0  25        0         0
#> 75.1  24.00      0  21        1         0
#> 19.1  24.00      0  57        0         1
#> 178   24.00      0  52        1         0
#> 174.3 24.00      0  49        1         0
#> 98.1  24.00      0  34        1         0
#> 172   24.00      0  41        0         0
#> 126.2 24.00      0  48        0         0
#> 109   24.00      0  48        0         0
#> 132.1 24.00      0  55        0         0
#> 38.1  24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 64.1  24.00      0  43        0         0
#> 121   24.00      0  57        1         0
#> 109.1 24.00      0  48        0         0
#> 73.1  24.00      0  NA        0         1
#> 161.2 24.00      0  45        0         0
#> 75.2  24.00      0  21        1         0
#> 151   24.00      0  42        0         0
#> 103   24.00      0  56        1         0
#> 17    24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.655         NA        NA      NA
#> 2 age, Cure model           0.0126        NA        NA      NA
#> 3 grade_ii, Cure model      0.0432        NA        NA      NA
#> 4 grade_iii, Cure model     0.989         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00795        NA        NA      NA
#> 2 grade_ii, Survival model   0.336          NA        NA      NA
#> 3 grade_iii, Survival model  0.360          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.65450           0.01261           0.04318           0.98873  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 248.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.65450048       0.01260863       0.04318194       0.98873445 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007950304      0.335502739      0.359759634 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.87330193 0.80019886 0.69943112 0.16480466 0.82508812 0.51362696
#>   [7] 0.86736792 0.41091599 0.36023372 0.46450868 0.70666086 0.66225797
#>  [13] 0.72781786 0.78103633 0.75512367 0.05019679 0.56637069 0.41091599
#>  [19] 0.96856050 0.91370159 0.53163781 0.98968241 0.47484652 0.83730699
#>  [25] 0.97914959 0.75512367 0.31751304 0.73486044 0.84942494 0.60753506
#>  [31] 0.96856050 0.73486044 0.66986707 0.18722822 0.89658507 0.44363202
#>  [37] 0.54928334 0.18722822 0.18722822 0.86142652 0.10513095 0.98968241
#>  [43] 0.62354747 0.70666086 0.93599062 0.82508812 0.95236231 0.67742261
#>  [49] 0.31751304 0.88507132 0.25420157 0.93599062 0.95780889 0.70666086
#>  [55] 0.93599062 0.25420157 0.75512367 0.73486044 0.75512367 0.92486694
#>  [61] 0.59937734 0.81269704 0.78103633 0.81890320 0.41091599 0.89658507
#>  [67] 0.62354747 0.51362696 0.62354747 0.90800914 0.91370159 0.57482541
#>  [73] 0.64674783 0.13852533 0.28662612 0.50402526 0.85544450 0.58310925
#>  [79] 0.65454237 0.36023372 0.84339211 0.31751304 0.53163781 0.68488947
#>  [85] 0.28662612 0.87921027 0.44363202 0.54928334 0.18722822 0.98443630
#>  [91] 0.47484652 0.60753506 0.36023372 0.58310925 0.79380660 0.88507132
#>  [97] 0.92486694 0.49434634 0.68488947 0.95780889 0.80019886 0.39836501
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   154   167   181    92   133   158    14   139   136    99    85    45     5 
#> 12.63 15.55 16.46 22.92 14.65 20.14 12.89 21.49 21.83 21.19 16.44 17.42 16.43 
#>   125   188    24    76 139.1   183    43   105   127    90    57    70 188.1 
#> 15.65 16.16 23.89 19.22 21.49  9.24 12.10 19.75  3.53 20.94 14.46  7.38 16.16 
#>   175    79    81    88 183.1  79.1    23   113    56   153   170 113.1 113.2 
#> 21.91 16.23 14.06 18.37  9.24 16.23 16.92 22.86 12.21 21.33 19.54 22.86 22.86 
#>   123    86 127.1    40   192    61 133.1   145   106 175.1    42    63  61.1 
#> 13.00 23.81  3.53 18.00 16.44 10.12 14.65 10.07 16.67 21.91 12.43 22.77 10.12 
#>   187  85.1  61.2  63.1 188.2  79.2 188.3    10     8    29 125.1   157 139.2 
#>  9.92 16.44 10.12 22.77 16.16 16.23 16.16 10.53 18.43 15.45 15.65 15.10 21.49 
#>  56.1  40.1 158.1  40.2    49  43.1    97   184   129   169    68    60   179 
#> 12.21 18.00 20.14 18.00 12.19 12.10 19.14 17.77 23.41 22.41 20.62 13.15 18.63 
#>    30 136.1    13 175.2 105.1   171 169.1    37 153.1 170.1 113.3    77  90.1 
#> 17.43 21.83 14.34 21.91 19.75 16.57 22.41 12.52 21.33 19.54 22.86  7.27 20.94 
#>  88.1 136.2 179.1     6  42.1  10.1    32 171.1 187.1 167.1   197    71    31 
#> 18.37 21.83 18.63 15.64 12.43 10.53 20.90 16.57  9.92 15.55 21.60 24.00 24.00 
#>    84    64   156    19   200   147 200.1    38   119    82    20   152   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80     3    35   174 138.1   161   142   185 185.1   191    94   196   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141 174.1   143 161.1    83    11  71.1    98    27   186    21  82.1   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162    44   193 156.1 185.2 162.1 126.1    54 141.1   132    46 185.3    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.1    53 174.2 147.1 147.2    48    67    72 200.2 193.1 147.3  67.1  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1   178 174.3  98.1   172 126.2   109 132.1  38.1     7  64.1   121 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.2  75.2   151   103    17 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[77]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0009680565              0.6644209865              0.4230261249 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.028819418            -0.006500673             0.648164130 
#>   grade_iii, Cure model 
#>             0.900681490 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 99    21.19      1  38        0         1
#> 107   11.18      1  54        1         0
#> 175   21.91      1  43        0         0
#> 106   16.67      1  49        1         0
#> 187    9.92      1  39        1         0
#> 117   17.46      1  26        0         1
#> 78    23.88      1  43        0         0
#> 97    19.14      1  65        0         1
#> 58    19.34      1  39        0         0
#> 127    3.53      1  62        0         1
#> 99.1  21.19      1  38        0         1
#> 68    20.62      1  44        0         0
#> 52    10.42      1  52        0         1
#> 127.1  3.53      1  62        0         1
#> 149    8.37      1  33        1         0
#> 169   22.41      1  46        0         0
#> 105   19.75      1  60        0         0
#> 18    15.21      1  49        1         0
#> 114   13.68      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 187.1  9.92      1  39        1         0
#> 85    16.44      1  36        0         0
#> 41    18.02      1  40        1         0
#> 61    10.12      1  36        0         1
#> 59    10.16      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 194   22.40      1  38        0         1
#> 190   20.81      1  42        1         0
#> 195   11.76      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 8     18.43      1  32        0         0
#> 113   22.86      1  34        0         0
#> 106.1 16.67      1  49        1         0
#> 99.2  21.19      1  38        0         1
#> 10    10.53      1  34        0         0
#> 36    21.19      1  48        0         1
#> 32    20.90      1  37        1         0
#> 66    22.13      1  53        0         0
#> 10.1  10.53      1  34        0         0
#> 29    15.45      1  68        1         0
#> 50    10.02      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 52.1  10.42      1  52        0         1
#> 93    10.33      1  52        0         1
#> 10.2  10.53      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 187.2  9.92      1  39        1         0
#> 76.1  19.22      1  54        0         1
#> 45    17.42      1  54        0         1
#> 187.3  9.92      1  39        1         0
#> 8.1   18.43      1  32        0         0
#> 197   21.60      1  69        1         0
#> 150   20.33      1  48        0         0
#> 39    15.59      1  37        0         1
#> 134   17.81      1  47        1         0
#> 140   12.68      1  59        1         0
#> 164   23.60      1  76        0         1
#> 68.1  20.62      1  44        0         0
#> 166   19.98      1  48        0         0
#> 181   16.46      1  45        0         1
#> 55    19.34      1  69        0         1
#> 79    16.23      1  54        1         0
#> 39.1  15.59      1  37        0         1
#> 40    18.00      1  28        1         0
#> 183    9.24      1  67        1         0
#> 76.2  19.22      1  54        0         1
#> 192   16.44      1  31        1         0
#> 8.2   18.43      1  32        0         0
#> 113.1 22.86      1  34        0         0
#> 111   17.45      1  47        0         1
#> 10.3  10.53      1  34        0         0
#> 113.2 22.86      1  34        0         0
#> 159   10.55      1  50        0         1
#> 179   18.63      1  42        0         0
#> 52.2  10.42      1  52        0         1
#> 114.1 13.68      1  NA        0         0
#> 192.1 16.44      1  31        1         0
#> 24    23.89      1  38        0         0
#> 37    12.52      1  57        1         0
#> 199.1 19.81      1  NA        0         1
#> 66.1  22.13      1  53        0         0
#> 111.1 17.45      1  47        0         1
#> 81    14.06      1  34        0         0
#> 195.1 11.76      1  NA        1         0
#> 32.1  20.90      1  37        1         0
#> 69    23.23      1  25        0         1
#> 91     5.33      1  61        0         1
#> 129   23.41      1  53        1         0
#> 6     15.64      1  39        0         0
#> 29.1  15.45      1  68        1         0
#> 90    20.94      1  50        0         1
#> 129.1 23.41      1  53        1         0
#> 69.1  23.23      1  25        0         1
#> 61.1  10.12      1  36        0         1
#> 37.1  12.52      1  57        1         0
#> 150.1 20.33      1  48        0         0
#> 43    12.10      1  61        0         1
#> 24.1  23.89      1  38        0         0
#> 169.1 22.41      1  46        0         0
#> 8.3   18.43      1  32        0         0
#> 56    12.21      1  60        0         0
#> 56.1  12.21      1  60        0         0
#> 149.1  8.37      1  33        1         0
#> 6.1   15.64      1  39        0         0
#> 134.1 17.81      1  47        1         0
#> 41.1  18.02      1  40        1         0
#> 189   10.51      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 60    13.15      1  38        1         0
#> 10.4  10.53      1  34        0         0
#> 13    14.34      1  54        0         1
#> 110   17.56      1  65        0         1
#> 27    24.00      0  63        1         0
#> 132   24.00      0  55        0         0
#> 102   24.00      0  49        0         0
#> 185   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 62    24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 72    24.00      0  40        0         1
#> 148   24.00      0  61        1         0
#> 62.1  24.00      0  71        0         0
#> 198   24.00      0  66        0         1
#> 143   24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 34    24.00      0  36        0         0
#> 83    24.00      0   6        0         0
#> 198.1 24.00      0  66        0         1
#> 196   24.00      0  19        0         0
#> 34.1  24.00      0  36        0         0
#> 22    24.00      0  52        1         0
#> 31    24.00      0  36        0         1
#> 112   24.00      0  61        0         0
#> 3     24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 102.1 24.00      0  49        0         0
#> 1     24.00      0  23        1         0
#> 178   24.00      0  52        1         0
#> 160   24.00      0  31        1         0
#> 126.1 24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 84    24.00      0  39        0         1
#> 21    24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 95    24.00      0  68        0         1
#> 87    24.00      0  27        0         0
#> 95.1  24.00      0  68        0         1
#> 7.1   24.00      0  37        1         0
#> 116   24.00      0  58        0         1
#> 64    24.00      0  43        0         0
#> 163   24.00      0  66        0         0
#> 102.2 24.00      0  49        0         0
#> 176   24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 83.1  24.00      0   6        0         0
#> 87.1  24.00      0  27        0         0
#> 122   24.00      0  66        0         0
#> 162   24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 193.2 24.00      0  45        0         1
#> 103   24.00      0  56        1         0
#> 126.2 24.00      0  48        0         0
#> 87.2  24.00      0  27        0         0
#> 72.1  24.00      0  40        0         1
#> 115   24.00      0  NA        1         0
#> 116.1 24.00      0  58        0         1
#> 33.1  24.00      0  53        0         0
#> 112.1 24.00      0  61        0         0
#> 3.1   24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 119   24.00      0  17        0         0
#> 38    24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 196.1 24.00      0  19        0         0
#> 178.1 24.00      0  52        1         0
#> 103.1 24.00      0  56        1         0
#> 142   24.00      0  53        0         0
#> 94    24.00      0  51        0         1
#> 161   24.00      0  45        0         0
#> 62.2  24.00      0  71        0         0
#> 182.1 24.00      0  35        0         0
#> 21.1  24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 33.2  24.00      0  53        0         0
#> 135   24.00      0  58        1         0
#> 193.3 24.00      0  45        0         1
#> 17    24.00      0  38        0         1
#> 174.1 24.00      0  49        1         0
#> 109   24.00      0  48        0         0
#> 121   24.00      0  57        1         0
#> 172   24.00      0  41        0         0
#> 87.3  24.00      0  27        0         0
#> 19    24.00      0  57        0         1
#> 109.1 24.00      0  48        0         0
#> 109.2 24.00      0  48        0         0
#> 87.4  24.00      0  27        0         0
#> 17.1  24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0288         NA        NA      NA
#> 2 age, Cure model         -0.00650        NA        NA      NA
#> 3 grade_ii, Cure model     0.648          NA        NA      NA
#> 4 grade_iii, Cure model    0.901          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000968        NA        NA      NA
#> 2 grade_ii, Survival model  0.664           NA        NA      NA
#> 3 grade_iii, Survival model 0.423           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.028819         -0.006501          0.648164          0.900681  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 255.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.028819418     -0.006500673      0.648164130      0.900681490 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0009680565     0.6644209865     0.4230261249 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.30834942 0.84836134 0.28255607 0.65374478 0.93625204 0.61164765
#>   [7] 0.07049579 0.50269381 0.45460630 0.98746073 0.30834942 0.39400649
#>  [13] 0.89599897 0.98746073 0.96843161 0.21663402 0.44445366 0.75493405
#>  [19] 0.79177815 0.93625204 0.67800196 0.55856958 0.92292259 0.80627784
#>  [25] 0.24339427 0.38376935 0.47439205 0.52169246 0.17755379 0.65374478
#>  [31] 0.30834942 0.86216454 0.30834942 0.36300881 0.25672398 0.86216454
#>  [37] 0.73996956 0.63696791 0.89599897 0.91617684 0.86216454 0.93625204
#>  [43] 0.47439205 0.64538952 0.93625204 0.52169246 0.29575549 0.41417001
#>  [49] 0.72467234 0.58569860 0.79906278 0.09715700 0.39400649 0.43428715
#>  [55] 0.66992218 0.45460630 0.70139168 0.72467234 0.57670205 0.96198069
#>  [61] 0.47439205 0.67800196 0.52169246 0.17755379 0.62021879 0.86216454
#>  [67] 0.17755379 0.85527971 0.51219679 0.89599897 0.67800196 0.02688775
#>  [73] 0.81343010 0.25672398 0.62021879 0.77713605 0.36300881 0.15025394
#>  [79] 0.98112091 0.11986752 0.70918478 0.73996956 0.35181724 0.11986752
#>  [85] 0.15025394 0.92292259 0.81343010 0.41417001 0.84138335 0.02688775
#>  [91] 0.21663402 0.52169246 0.82741378 0.82741378 0.96843161 0.70918478
#>  [97] 0.58569860 0.55856958 0.76237682 0.78449181 0.86216454 0.76977796
#> [103] 0.60300806 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    99   107   175   106   187   117    78    97    58   127  99.1    68    52 
#> 21.19 11.18 21.91 16.67  9.92 17.46 23.88 19.14 19.34  3.53 21.19 20.62 10.42 
#> 127.1   149   169   105    18   155 187.1    85    41    61   154   194   190 
#>  3.53  8.37 22.41 19.75 15.21 13.08  9.92 16.44 18.02 10.12 12.63 22.40 20.81 
#>    76     8   113 106.1  99.2    10    36    32    66  10.1    29    30  52.1 
#> 19.22 18.43 22.86 16.67 21.19 10.53 21.19 20.90 22.13 10.53 15.45 17.43 10.42 
#>    93  10.2 187.2  76.1    45 187.3   8.1   197   150    39   134   140   164 
#> 10.33 10.53  9.92 19.22 17.42  9.92 18.43 21.60 20.33 15.59 17.81 12.68 23.60 
#>  68.1   166   181    55    79  39.1    40   183  76.2   192   8.2 113.1   111 
#> 20.62 19.98 16.46 19.34 16.23 15.59 18.00  9.24 19.22 16.44 18.43 22.86 17.45 
#>  10.3 113.2   159   179  52.2 192.1    24    37  66.1 111.1    81  32.1    69 
#> 10.53 22.86 10.55 18.63 10.42 16.44 23.89 12.52 22.13 17.45 14.06 20.90 23.23 
#>    91   129     6  29.1    90 129.1  69.1  61.1  37.1 150.1    43  24.1 169.1 
#>  5.33 23.41 15.64 15.45 20.94 23.41 23.23 10.12 12.52 20.33 12.10 23.89 22.41 
#>   8.3    56  56.1 149.1   6.1 134.1  41.1    96    60  10.4    13   110    27 
#> 18.43 12.21 12.21  8.37 15.64 17.81 18.02 14.54 13.15 10.53 14.34 17.56 24.00 
#>   132   102   185   126    62   193    72   148  62.1   198   143   138   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34    83 198.1   196  34.1    22    31   112     3 193.1 102.1     1   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160 126.1     7    84    21   151    95    87  95.1   7.1   116    64   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.2   176     2  83.1  87.1   122   162    33    67 193.2   103 126.2  87.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1 116.1  33.1 112.1   3.1  64.1   119    38   182 196.1 178.1 103.1   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   161  62.2 182.1  21.1   174  33.2   135 193.3    17 174.1   109   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172  87.3    19 109.1 109.2  87.4  17.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[78]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00363329                0.33594250                0.31842594 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.18509798              0.01712181              0.56444360 
#>   grade_iii, Cure model 
#>              0.99315772 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 164   23.60      1  76        0         1
#> 188   16.16      1  46        0         1
#> 129   23.41      1  53        1         0
#> 190   20.81      1  42        1         0
#> 127    3.53      1  62        0         1
#> 97    19.14      1  65        0         1
#> 108   18.29      1  39        0         1
#> 45    17.42      1  54        0         1
#> 168   23.72      1  70        0         0
#> 51    18.23      1  83        0         1
#> 16     8.71      1  71        0         1
#> 58    19.34      1  39        0         0
#> 155   13.08      1  26        0         0
#> 4     17.64      1  NA        0         1
#> 77     7.27      1  67        0         1
#> 180   14.82      1  37        0         0
#> 177   12.53      1  75        0         0
#> 43    12.10      1  61        0         1
#> 169   22.41      1  46        0         0
#> 127.1  3.53      1  62        0         1
#> 57    14.46      1  45        0         1
#> 181   16.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 100   16.07      1  60        0         0
#> 110   17.56      1  65        0         1
#> 130   16.47      1  53        0         1
#> 16.1   8.71      1  71        0         1
#> 175.1 21.91      1  43        0         0
#> 32    20.90      1  37        1         0
#> 81    14.06      1  34        0         0
#> 88    18.37      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 180.1 14.82      1  37        0         0
#> 86    23.81      1  58        0         1
#> 134   17.81      1  47        1         0
#> 39    15.59      1  37        0         1
#> 66    22.13      1  53        0         0
#> 51.1  18.23      1  83        0         1
#> 101    9.97      1  10        0         1
#> 32.1  20.90      1  37        1         0
#> 18    15.21      1  49        1         0
#> 45.1  17.42      1  54        0         1
#> 45.2  17.42      1  54        0         1
#> 60    13.15      1  38        1         0
#> 155.1 13.08      1  26        0         0
#> 26    15.77      1  49        0         1
#> 37    12.52      1  57        1         0
#> 181.1 16.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 5     16.43      1  51        0         1
#> 37.1  12.52      1  57        1         0
#> 134.1 17.81      1  47        1         0
#> 92    22.92      1  47        0         1
#> 133   14.65      1  57        0         0
#> 111   17.45      1  47        0         1
#> 26.1  15.77      1  49        0         1
#> 194   22.40      1  38        0         1
#> 190.1 20.81      1  42        1         0
#> 10    10.53      1  34        0         0
#> 190.2 20.81      1  42        1         0
#> 149    8.37      1  33        1         0
#> 111.1 17.45      1  47        0         1
#> 86.1  23.81      1  58        0         1
#> 133.1 14.65      1  57        0         0
#> 117   17.46      1  26        0         1
#> 130.1 16.47      1  53        0         1
#> 49    12.19      1  48        1         0
#> 177.1 12.53      1  75        0         0
#> 106   16.67      1  49        1         0
#> 188.1 16.16      1  46        0         1
#> 79    16.23      1  54        1         0
#> 114   13.68      1  NA        0         0
#> 96    14.54      1  33        0         1
#> 16.2   8.71      1  71        0         1
#> 125   15.65      1  67        1         0
#> 117.1 17.46      1  26        0         1
#> 114.1 13.68      1  NA        0         0
#> 194.1 22.40      1  38        0         1
#> 127.2  3.53      1  62        0         1
#> 140   12.68      1  59        1         0
#> 36    21.19      1  48        0         1
#> 41    18.02      1  40        1         0
#> 195   11.76      1  NA        1         0
#> 140.1 12.68      1  59        1         0
#> 124    9.73      1  NA        1         0
#> 190.3 20.81      1  42        1         0
#> 130.2 16.47      1  53        0         1
#> 136   21.83      1  43        0         1
#> 24    23.89      1  38        0         0
#> 158   20.14      1  74        1         0
#> 50    10.02      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 59    10.16      1  NA        1         0
#> 41.1  18.02      1  40        1         0
#> 59.1  10.16      1  NA        1         0
#> 24.1  23.89      1  38        0         0
#> 134.2 17.81      1  47        1         0
#> 195.1 11.76      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 40    18.00      1  28        1         0
#> 127.3  3.53      1  62        0         1
#> 55    19.34      1  69        0         1
#> 197   21.60      1  69        1         0
#> 25     6.32      1  34        1         0
#> 57.1  14.46      1  45        0         1
#> 129.1 23.41      1  53        1         0
#> 18.1  15.21      1  49        1         0
#> 125.1 15.65      1  67        1         0
#> 164.1 23.60      1  76        0         1
#> 85    16.44      1  36        0         0
#> 81.1  14.06      1  34        0         0
#> 66.1  22.13      1  53        0         0
#> 147   24.00      0  76        1         0
#> 21    24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 112   24.00      0  61        0         0
#> 118   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 48    24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 102   24.00      0  49        0         0
#> 73    24.00      0  NA        0         1
#> 71    24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 103   24.00      0  56        1         0
#> 143   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 143.1 24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 122   24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 122.1 24.00      0  66        0         0
#> 147.1 24.00      0  76        1         0
#> 46    24.00      0  71        0         0
#> 112.1 24.00      0  61        0         0
#> 71.1  24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 115   24.00      0  NA        1         0
#> 72.1  24.00      0  40        0         1
#> 2     24.00      0   9        0         0
#> 148   24.00      0  61        1         0
#> 11    24.00      0  42        0         1
#> 21.1  24.00      0  47        0         0
#> 102.1 24.00      0  49        0         0
#> 144   24.00      0  28        0         1
#> 73.1  24.00      0  NA        0         1
#> 80    24.00      0  41        0         0
#> 21.2  24.00      0  47        0         0
#> 9.1   24.00      0  31        1         0
#> 144.1 24.00      0  28        0         1
#> 17    24.00      0  38        0         1
#> 80.1  24.00      0  41        0         0
#> 144.2 24.00      0  28        0         1
#> 34    24.00      0  36        0         0
#> 47    24.00      0  38        0         1
#> 34.1  24.00      0  36        0         0
#> 116   24.00      0  58        0         1
#> 102.2 24.00      0  49        0         0
#> 152   24.00      0  36        0         1
#> 27    24.00      0  63        1         0
#> 142   24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 17.1  24.00      0  38        0         1
#> 144.3 24.00      0  28        0         1
#> 173   24.00      0  19        0         1
#> 122.2 24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 109   24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 95    24.00      0  68        0         1
#> 44    24.00      0  56        0         0
#> 161   24.00      0  45        0         0
#> 72.2  24.00      0  40        0         1
#> 48.1  24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 148.1 24.00      0  61        1         0
#> 198.1 24.00      0  66        0         1
#> 146   24.00      0  63        1         0
#> 73.2  24.00      0  NA        0         1
#> 72.3  24.00      0  40        0         1
#> 72.4  24.00      0  40        0         1
#> 44.1  24.00      0  56        0         0
#> 75    24.00      0  21        1         0
#> 191.1 24.00      0  60        0         1
#> 172   24.00      0  41        0         0
#> 143.2 24.00      0  51        0         0
#> 9.2   24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 163   24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 122.3 24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 156   24.00      0  50        1         0
#> 31.1  24.00      0  36        0         1
#> 191.2 24.00      0  60        0         1
#> 9.3   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.19          NA        NA      NA
#> 2 age, Cure model           0.0171        NA        NA      NA
#> 3 grade_ii, Cure model      0.564         NA        NA      NA
#> 4 grade_iii, Cure model     0.993         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00363        NA        NA      NA
#> 2 grade_ii, Survival model   0.336          NA        NA      NA
#> 3 grade_iii, Survival model  0.318          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.18510           0.01712           0.56444           0.99316  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.1 
#> Residual Deviance: 245.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.18509798       0.01712181       0.56444360       0.99315772 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00363329       0.33594250       0.31842594 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.06497583 0.60648723 0.08707620 0.25906397 0.96429235 0.32798521
#>   [7] 0.34833307 0.48478092 0.05262884 0.35847367 0.90984315 0.30794725
#>  [13] 0.79057990 0.94609804 0.69870866 0.82721659 0.87313769 0.11942738
#>  [19] 0.96429235 0.74471882 0.55971447 0.17274405 0.62497433 0.43687262
#>  [25] 0.53186249 0.90984315 0.17274405 0.23827863 0.76302026 0.33813510
#>  [31] 0.69870866 0.03179861 0.40814464 0.67118721 0.15143315 0.35847367
#>  [37] 0.90068761 0.23827863 0.68043100 0.48478092 0.48478092 0.78137287
#>  [43] 0.79057990 0.63431453 0.84560513 0.55971447 0.22743349 0.58774111
#>  [49] 0.84560513 0.40814464 0.10837633 0.71704668 0.46577637 0.63431453
#>  [55] 0.13063874 0.25906397 0.89150165 0.25906397 0.93698380 0.46577637
#>  [61] 0.03179861 0.71704668 0.44664775 0.53186249 0.86393887 0.82721659
#>  [67] 0.52234362 0.60648723 0.59712520 0.73547288 0.90984315 0.65277609
#>  [73] 0.44664775 0.13063874 0.96429235 0.80892505 0.21651215 0.37844936
#>  [79] 0.80892505 0.25906397 0.53186249 0.19444515 0.01008826 0.29778086
#>  [85] 0.88232667 0.37844936 0.01008826 0.40814464 0.51279498 0.39820635
#>  [91] 0.96429235 0.30794725 0.20550493 0.95520544 0.74471882 0.08707620
#>  [97] 0.68043100 0.65277609 0.06497583 0.57833563 0.76302026 0.15143315
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   164   188   129   190   127    97   108    45   168    51    16    58   155 
#> 23.60 16.16 23.41 20.81  3.53 19.14 18.29 17.42 23.72 18.23  8.71 19.34 13.08 
#>    77   180   177    43   169 127.1    57   181   175   100   110   130  16.1 
#>  7.27 14.82 12.53 12.10 22.41  3.53 14.46 16.46 21.91 16.07 17.56 16.47  8.71 
#> 175.1    32    81    88 180.1    86   134    39    66  51.1   101  32.1    18 
#> 21.91 20.90 14.06 18.37 14.82 23.81 17.81 15.59 22.13 18.23  9.97 20.90 15.21 
#>  45.1  45.2    60 155.1    26    37 181.1    90     5  37.1 134.1    92   133 
#> 17.42 17.42 13.15 13.08 15.77 12.52 16.46 20.94 16.43 12.52 17.81 22.92 14.65 
#>   111  26.1   194 190.1    10 190.2   149 111.1  86.1 133.1   117 130.1    49 
#> 17.45 15.77 22.40 20.81 10.53 20.81  8.37 17.45 23.81 14.65 17.46 16.47 12.19 
#> 177.1   106 188.1    79    96  16.2   125 117.1 194.1 127.2   140    36    41 
#> 12.53 16.67 16.16 16.23 14.54  8.71 15.65 17.46 22.40  3.53 12.68 21.19 18.02 
#> 140.1 190.3 130.2   136    24   158   159  41.1  24.1 134.2    23    40 127.3 
#> 12.68 20.81 16.47 21.83 23.89 20.14 10.55 18.02 23.89 17.81 16.92 18.00  3.53 
#>    55   197    25  57.1 129.1  18.1 125.1 164.1    85  81.1  66.1   147    21 
#> 19.34 21.60  6.32 14.46 23.41 15.21 15.65 23.60 16.44 14.06 22.13 24.00 24.00 
#>    72   112   118   198    48   200   102    71    67   103   143   191 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120   122     9    65 122.1 147.1    46 112.1  71.1     1  72.1     2   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11  21.1 102.1   144    80  21.2   9.1 144.1    17  80.1 144.2    34    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1   116 102.2   152    27   142    31  17.1 144.3   173 122.2   182   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98    95    44   161  72.2  48.1     7 148.1 198.1   146  72.3  72.4  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75 191.1   172 143.2   9.2 103.1   163   138 122.3   160   126   141   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156  31.1 191.2   9.3 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[79]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007827306               0.547063925               0.289323837 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -1.0285187               0.0192563              -0.0769238 
#>   grade_iii, Cure model 
#>               0.9903847 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 99    21.19      1  38        0         1
#> 194   22.40      1  38        0         1
#> 43    12.10      1  61        0         1
#> 171   16.57      1  41        0         1
#> 81    14.06      1  34        0         0
#> 68    20.62      1  44        0         0
#> 129   23.41      1  53        1         0
#> 92    22.92      1  47        0         1
#> 76    19.22      1  54        0         1
#> 124    9.73      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 166   19.98      1  48        0         0
#> 177   12.53      1  75        0         0
#> 195   11.76      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 169   22.41      1  46        0         0
#> 15    22.68      1  48        0         0
#> 197   21.60      1  69        1         0
#> 101    9.97      1  10        0         1
#> 49    12.19      1  48        1         0
#> 188   16.16      1  46        0         1
#> 189   10.51      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 129.1 23.41      1  53        1         0
#> 188.1 16.16      1  46        0         1
#> 171.1 16.57      1  41        0         1
#> 61    10.12      1  36        0         1
#> 145   10.07      1  65        1         0
#> 86    23.81      1  58        0         1
#> 199   19.81      1  NA        0         1
#> 189.1 10.51      1  NA        1         0
#> 101.1  9.97      1  10        0         1
#> 59    10.16      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 114   13.68      1  NA        0         0
#> 70     7.38      1  30        1         0
#> 26    15.77      1  49        0         1
#> 100   16.07      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 106   16.67      1  49        1         0
#> 23    16.92      1  61        0         0
#> 56    12.21      1  60        0         0
#> 41.1  18.02      1  40        1         0
#> 140   12.68      1  59        1         0
#> 154   12.63      1  20        1         0
#> 69    23.23      1  25        0         1
#> 111   17.45      1  47        0         1
#> 50    10.02      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 183    9.24      1  67        1         0
#> 168   23.72      1  70        0         0
#> 133   14.65      1  57        0         0
#> 69.1  23.23      1  25        0         1
#> 60    13.15      1  38        1         0
#> 45.1  17.42      1  54        0         1
#> 26.1  15.77      1  49        0         1
#> 129.2 23.41      1  53        1         0
#> 89    11.44      1  NA        0         0
#> 194.1 22.40      1  38        0         1
#> 125   15.65      1  67        1         0
#> 18    15.21      1  49        1         0
#> 37    12.52      1  57        1         0
#> 175   21.91      1  43        0         0
#> 76.2  19.22      1  54        0         1
#> 63    22.77      1  31        1         0
#> 129.3 23.41      1  53        1         0
#> 197.1 21.60      1  69        1         0
#> 59.1  10.16      1  NA        1         0
#> 166.1 19.98      1  48        0         0
#> 117   17.46      1  26        0         1
#> 81.1  14.06      1  34        0         0
#> 78    23.88      1  43        0         0
#> 129.4 23.41      1  53        1         0
#> 90    20.94      1  50        0         1
#> 86.1  23.81      1  58        0         1
#> 189.2 10.51      1  NA        1         0
#> 26.2  15.77      1  49        0         1
#> 6     15.64      1  39        0         0
#> 45.2  17.42      1  54        0         1
#> 60.1  13.15      1  38        1         0
#> 164   23.60      1  76        0         1
#> 175.1 21.91      1  43        0         0
#> 78.1  23.88      1  43        0         0
#> 5     16.43      1  51        0         1
#> 79    16.23      1  54        1         0
#> 13    14.34      1  54        0         1
#> 169.1 22.41      1  46        0         0
#> 86.2  23.81      1  58        0         1
#> 58    19.34      1  39        0         0
#> 42    12.43      1  49        0         1
#> 125.1 15.65      1  67        1         0
#> 133.1 14.65      1  57        0         0
#> 61.1  10.12      1  36        0         1
#> 128   20.35      1  35        0         1
#> 106.1 16.67      1  49        1         0
#> 51    18.23      1  83        0         1
#> 114.1 13.68      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 149    8.37      1  33        1         0
#> 171.2 16.57      1  41        0         1
#> 111.1 17.45      1  47        0         1
#> 93    10.33      1  52        0         1
#> 68.1  20.62      1  44        0         0
#> 166.2 19.98      1  48        0         0
#> 113   22.86      1  34        0         0
#> 86.3  23.81      1  58        0         1
#> 194.2 22.40      1  38        0         1
#> 177.1 12.53      1  75        0         0
#> 68.2  20.62      1  44        0         0
#> 66    22.13      1  53        0         0
#> 158   20.14      1  74        1         0
#> 183.1  9.24      1  67        1         0
#> 1     24.00      0  23        1         0
#> 109   24.00      0  48        0         0
#> 146   24.00      0  63        1         0
#> 84    24.00      0  39        0         1
#> 176   24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 98    24.00      0  34        1         0
#> 191   24.00      0  60        0         1
#> 35    24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 65    24.00      0  57        1         0
#> 165   24.00      0  47        0         0
#> 1.1   24.00      0  23        1         0
#> 191.1 24.00      0  60        0         1
#> 71    24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 109.1 24.00      0  48        0         0
#> 146.1 24.00      0  63        1         0
#> 172   24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 31    24.00      0  36        0         1
#> 119   24.00      0  17        0         0
#> 148   24.00      0  61        1         0
#> 122   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 148.1 24.00      0  61        1         0
#> 98.1  24.00      0  34        1         0
#> 20    24.00      0  46        1         0
#> 7     24.00      0  37        1         0
#> 160   24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 182   24.00      0  35        0         0
#> 135   24.00      0  58        1         0
#> 44    24.00      0  56        0         0
#> 162   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 196   24.00      0  19        0         0
#> 191.2 24.00      0  60        0         1
#> 132   24.00      0  55        0         0
#> 119.1 24.00      0  17        0         0
#> 20.1  24.00      0  46        1         0
#> 19    24.00      0  57        0         1
#> 38    24.00      0  31        1         0
#> 1.2   24.00      0  23        1         0
#> 176.1 24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 160.1 24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 126.1 24.00      0  48        0         0
#> 172.1 24.00      0  41        0         0
#> 94.2  24.00      0  51        0         1
#> 182.1 24.00      0  35        0         0
#> 53    24.00      0  32        0         1
#> 54.1  24.00      0  53        1         0
#> 34    24.00      0  36        0         0
#> 34.1  24.00      0  36        0         0
#> 44.1  24.00      0  56        0         0
#> 118   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 102.1 24.00      0  49        0         0
#> 33    24.00      0  53        0         0
#> 7.1   24.00      0  37        1         0
#> 20.2  24.00      0  46        1         0
#> 156.1 24.00      0  50        1         0
#> 1.3   24.00      0  23        1         0
#> 46    24.00      0  71        0         0
#> 131   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 115.1 24.00      0  NA        1         0
#> 11.1  24.00      0  42        0         1
#> 161   24.00      0  45        0         0
#> 185   24.00      0  44        1         0
#> 172.2 24.00      0  41        0         0
#> 152   24.00      0  36        0         1
#> 120   24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 115.2 24.00      0  NA        1         0
#> 138   24.00      0  44        1         0
#> 34.2  24.00      0  36        0         0
#> 135.1 24.00      0  58        1         0
#> 178   24.00      0  52        1         0
#> 191.3 24.00      0  60        0         1
#> 20.3  24.00      0  46        1         0
#> 131.1 24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.03          NA        NA      NA
#> 2 age, Cure model           0.0193        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0769        NA        NA      NA
#> 4 grade_iii, Cure model     0.990         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00783        NA        NA      NA
#> 2 grade_ii, Survival model   0.547          NA        NA      NA
#> 3 grade_iii, Survival model  0.289          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.02852           0.01926          -0.07692           0.99038  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254 
#> Residual Deviance: 241.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.0285187        0.0192563       -0.0769238        0.9903847 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007827306      0.547063925      0.289323837 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.269636007 0.194287347 0.880101663 0.547011391 0.749550890 0.289290814
#>   [7] 0.081600163 0.138991682 0.379642686 0.431774008 0.338901366 0.814627379
#>  [13] 0.410477696 0.175719504 0.166480727 0.250377349 0.934886454 0.869150835
#>  [19] 0.599631293 0.379642686 0.081600163 0.599631293 0.547011391 0.902065186
#>  [25] 0.923905886 0.029216091 0.934886454 0.484020428 0.989172451 0.631482648
#>  [31] 0.620758574 0.525958703 0.515247979 0.858174160 0.431774008 0.792957549
#>  [37] 0.803827348 0.121402695 0.463142004 0.727769578 0.956599501 0.059957938
#>  [43] 0.706160890 0.121402695 0.771340769 0.484020428 0.631482648 0.081600163
#>  [49] 0.194287347 0.663254992 0.695392149 0.836338199 0.231109047 0.379642686
#>  [55] 0.157399870 0.081600163 0.250377349 0.338901366 0.452618748 0.749550890
#>  [61] 0.011629519 0.081600163 0.279446632 0.029216091 0.631482648 0.684593704
#>  [67] 0.484020428 0.771340769 0.070559472 0.231109047 0.011629519 0.578340784
#>  [73] 0.588998777 0.738650210 0.175719504 0.029216091 0.369182346 0.847249854
#>  [79] 0.663254992 0.706160890 0.902065186 0.318676140 0.525958703 0.421085113
#>  [85] 0.003025699 0.978301293 0.547011391 0.463142004 0.891075910 0.289290814
#>  [91] 0.338901366 0.148128894 0.029216091 0.194287347 0.814627379 0.289290814
#>  [97] 0.221499639 0.328783820 0.956599501 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    99   194    43   171    81    68   129    92    76    41   166   177     8 
#> 21.19 22.40 12.10 16.57 14.06 20.62 23.41 22.92 19.22 18.02 19.98 12.53 18.43 
#>   169    15   197   101    49   188  76.1 129.1 188.1 171.1    61   145    86 
#> 22.41 22.68 21.60  9.97 12.19 16.16 19.22 23.41 16.16 16.57 10.12 10.07 23.81 
#> 101.1    45    70    26   100   106    23    56  41.1   140   154    69   111 
#>  9.97 17.42  7.38 15.77 16.07 16.67 16.92 12.21 18.02 12.68 12.63 23.23 17.45 
#>    96   183   168   133  69.1    60  45.1  26.1 129.2 194.1   125    18    37 
#> 14.54  9.24 23.72 14.65 23.23 13.15 17.42 15.77 23.41 22.40 15.65 15.21 12.52 
#>   175  76.2    63 129.3 197.1 166.1   117  81.1    78 129.4    90  86.1  26.2 
#> 21.91 19.22 22.77 23.41 21.60 19.98 17.46 14.06 23.88 23.41 20.94 23.81 15.77 
#>     6  45.2  60.1   164 175.1  78.1     5    79    13 169.1  86.2    58    42 
#> 15.64 17.42 13.15 23.60 21.91 23.88 16.43 16.23 14.34 22.41 23.81 19.34 12.43 
#> 125.1 133.1  61.1   128 106.1    51    24   149 171.2 111.1    93  68.1 166.2 
#> 15.65 14.65 10.12 20.35 16.67 18.23 23.89  8.37 16.57 17.45 10.33 20.62 19.98 
#>   113  86.3 194.2 177.1  68.2    66   158 183.1     1   109   146    84   176 
#> 22.86 23.81 22.40 12.53 20.62 22.13 20.14  9.24 24.00 24.00 24.00 24.00 24.00 
#>     3    94    98   191    35    65   165   1.1 191.1    71  94.1 109.1 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172     2    31   119   148   122   142 148.1  98.1    20     7   160   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182   135    44   162   126   196 191.2   132 119.1  20.1    19    38   1.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1    54 160.1     9    11 126.1 172.1  94.2 182.1    53  54.1    34  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.1   118   102 102.1    33   7.1  20.2 156.1   1.3    46   131   186    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1   161   185 172.2   152   120   151   138  34.2 135.1   178 191.3  20.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1   174 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[80]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009015534               0.617750175               0.311597039 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.62683678              0.02474092              0.57640353 
#>   grade_iii, Cure model 
#>              1.36769618 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 145   10.07      1  65        1         0
#> 26    15.77      1  49        0         1
#> 195   11.76      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 66    22.13      1  53        0         0
#> 187    9.92      1  39        1         0
#> 129   23.41      1  53        1         0
#> 157   15.10      1  47        0         0
#> 16     8.71      1  71        0         1
#> 77     7.27      1  67        0         1
#> 124    9.73      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 49    12.19      1  48        1         0
#> 43    12.10      1  61        0         1
#> 180   14.82      1  37        0         0
#> 50    10.02      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 90    20.94      1  50        0         1
#> 39    15.59      1  37        0         1
#> 70.1   7.38      1  30        1         0
#> 166   19.98      1  48        0         0
#> 150   20.33      1  48        0         0
#> 90.1  20.94      1  50        0         1
#> 171.1 16.57      1  41        0         1
#> 81    14.06      1  34        0         0
#> 32    20.90      1  37        1         0
#> 158   20.14      1  74        1         0
#> 68    20.62      1  44        0         0
#> 166.1 19.98      1  48        0         0
#> 195.1 11.76      1  NA        1         0
#> 129.1 23.41      1  53        1         0
#> 89    11.44      1  NA        0         0
#> 30    17.43      1  78        0         0
#> 96    14.54      1  33        0         1
#> 180.1 14.82      1  37        0         0
#> 42    12.43      1  49        0         1
#> 108   18.29      1  39        0         1
#> 97    19.14      1  65        0         1
#> 86    23.81      1  58        0         1
#> 14    12.89      1  21        0         0
#> 101    9.97      1  10        0         1
#> 97.1  19.14      1  65        0         1
#> 26.1  15.77      1  49        0         1
#> 192   16.44      1  31        1         0
#> 42.1  12.43      1  49        0         1
#> 155   13.08      1  26        0         0
#> 51    18.23      1  83        0         1
#> 164   23.60      1  76        0         1
#> 90.2  20.94      1  50        0         1
#> 108.1 18.29      1  39        0         1
#> 91     5.33      1  61        0         1
#> 49.1  12.19      1  48        1         0
#> 187.1  9.92      1  39        1         0
#> 86.1  23.81      1  58        0         1
#> 49.2  12.19      1  48        1         0
#> 157.1 15.10      1  47        0         0
#> 195.2 11.76      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 52    10.42      1  52        0         1
#> 189   10.51      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 197   21.60      1  69        1         0
#> 50.1  10.02      1  NA        1         0
#> 180.2 14.82      1  37        0         0
#> 153   21.33      1  55        1         0
#> 110   17.56      1  65        0         1
#> 77.1   7.27      1  67        0         1
#> 136   21.83      1  43        0         1
#> 188   16.16      1  46        0         1
#> 114   13.68      1  NA        0         0
#> 180.3 14.82      1  37        0         0
#> 36    21.19      1  48        0         1
#> 188.1 16.16      1  46        0         1
#> 194.1 22.40      1  38        0         1
#> 166.2 19.98      1  48        0         0
#> 149    8.37      1  33        1         0
#> 145.1 10.07      1  65        1         0
#> 4     17.64      1  NA        0         1
#> 113   22.86      1  34        0         0
#> 130   16.47      1  53        0         1
#> 29    15.45      1  68        1         0
#> 133.1 14.65      1  57        0         0
#> 43.1  12.10      1  61        0         1
#> 52.1  10.42      1  52        0         1
#> 26.2  15.77      1  49        0         1
#> 111   17.45      1  47        0         1
#> 96.1  14.54      1  33        0         1
#> 155.1 13.08      1  26        0         0
#> 127    3.53      1  62        0         1
#> 180.4 14.82      1  37        0         0
#> 106   16.67      1  49        1         0
#> 91.1   5.33      1  61        0         1
#> 93    10.33      1  52        0         1
#> 90.3  20.94      1  50        0         1
#> 18    15.21      1  49        1         0
#> 192.1 16.44      1  31        1         0
#> 140   12.68      1  59        1         0
#> 100   16.07      1  60        0         0
#> 52.2  10.42      1  52        0         1
#> 79    16.23      1  54        1         0
#> 97.2  19.14      1  65        0         1
#> 187.2  9.92      1  39        1         0
#> 114.1 13.68      1  NA        0         0
#> 110.1 17.56      1  65        0         1
#> 24    23.89      1  38        0         0
#> 125   15.65      1  67        1         0
#> 6     15.64      1  39        0         0
#> 183    9.24      1  67        1         0
#> 24.1  23.89      1  38        0         0
#> 50.2  10.02      1  NA        1         0
#> 66.1  22.13      1  53        0         0
#> 37    12.52      1  57        1         0
#> 185   24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 185.1 24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 132.1 24.00      0  55        0         0
#> 122   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 47    24.00      0  38        0         1
#> 132.2 24.00      0  55        0         0
#> 172   24.00      0  41        0         0
#> 176   24.00      0  43        0         1
#> 47.1  24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 142   24.00      0  53        0         0
#> 112   24.00      0  61        0         0
#> 9     24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 182.1 24.00      0  35        0         0
#> 33    24.00      0  53        0         0
#> 104.1 24.00      0  50        1         0
#> 94    24.00      0  51        0         1
#> 165   24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 34    24.00      0  36        0         0
#> 19    24.00      0  57        0         1
#> 7     24.00      0  37        1         0
#> 176.1 24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 98    24.00      0  34        1         0
#> 118.1 24.00      0  44        1         0
#> 176.2 24.00      0  43        0         1
#> 9.1   24.00      0  31        1         0
#> 34.1  24.00      0  36        0         0
#> 173   24.00      0  19        0         1
#> 172.1 24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 163   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 132.3 24.00      0  55        0         0
#> 71    24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 84    24.00      0  39        0         1
#> 3.1   24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 73    24.00      0  NA        0         1
#> 87.1  24.00      0  27        0         0
#> 47.2  24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 141.1 24.00      0  44        1         0
#> 142.1 24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 122.1 24.00      0  66        0         0
#> 71.1  24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 46    24.00      0  71        0         0
#> 182.2 24.00      0  35        0         0
#> 196.1 24.00      0  19        0         0
#> 132.4 24.00      0  55        0         0
#> 87.2  24.00      0  27        0         0
#> 2     24.00      0   9        0         0
#> 27    24.00      0  63        1         0
#> 191   24.00      0  60        0         1
#> 119   24.00      0  17        0         0
#> 9.2   24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 64.1  24.00      0  43        0         0
#> 186.1 24.00      0  45        1         0
#> 87.3  24.00      0  27        0         0
#> 19.1  24.00      0  57        0         1
#> 142.2 24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 162   24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 12    24.00      0  63        0         0
#> 102   24.00      0  49        0         0
#> 53.1  24.00      0  32        0         1
#> 122.2 24.00      0  66        0         0
#> 143.1 24.00      0  51        0         0
#> 84.1  24.00      0  39        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.63          NA        NA      NA
#> 2 age, Cure model           0.0247        NA        NA      NA
#> 3 grade_ii, Cure model      0.576         NA        NA      NA
#> 4 grade_iii, Cure model     1.37          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00902        NA        NA      NA
#> 2 grade_ii, Survival model   0.618          NA        NA      NA
#> 3 grade_iii, Survival model  0.312          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.62684           0.02474           0.57640           1.36770  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 237.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.62683678       0.02474092       0.57640353       1.36769618 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009015534      0.617750175      0.311597039 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.824220078 0.436121814 0.923492365 0.074239469 0.857664084 0.036518419
#>   [7] 0.519114386 0.901398311 0.945190658 0.344002743 0.725024439 0.757749246
#>  [13] 0.540112286 0.592491225 0.135738291 0.487651386 0.923492365 0.206135099
#>  [19] 0.187539723 0.135738291 0.344002743 0.636188864 0.169433765 0.196826787
#>  [25] 0.178411505 0.206135099 0.036518419 0.323116030 0.614345514 0.540112286
#>  [31] 0.702835491 0.262878567 0.234092713 0.014460017 0.669359281 0.846491049
#>  [37] 0.234092713 0.436121814 0.375065500 0.702835491 0.647256534 0.282495485
#>  [43] 0.027924857 0.135738291 0.262878567 0.967016010 0.725024439 0.857664084
#>  [49] 0.014460017 0.725024439 0.519114386 0.090780715 0.779861952 0.058996458
#>  [55] 0.108765050 0.540112286 0.117790820 0.292606884 0.945190658 0.099742937
#>  [61] 0.405502618 0.540112286 0.126728188 0.405502618 0.058996458 0.206135099
#>  [67] 0.912470578 0.824220078 0.050887950 0.364580963 0.498153589 0.592491225
#>  [73] 0.757749246 0.779861952 0.436121814 0.312809973 0.614345514 0.647256534
#>  [79] 0.988946348 0.540112286 0.333590826 0.967016010 0.812998510 0.135738291
#>  [85] 0.508654759 0.375065500 0.680535521 0.425763609 0.779861952 0.395293042
#>  [91] 0.234092713 0.857664084 0.292606884 0.003535292 0.466724848 0.477154106
#>  [97] 0.890363996 0.003535292 0.074239469 0.691695340 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>   145    26    70    66   187   129   157    16    77   171    49    43   180 
#> 10.07 15.77  7.38 22.13  9.92 23.41 15.10  8.71  7.27 16.57 12.19 12.10 14.82 
#>   133    90    39  70.1   166   150  90.1 171.1    81    32   158    68 166.1 
#> 14.65 20.94 15.59  7.38 19.98 20.33 20.94 16.57 14.06 20.90 20.14 20.62 19.98 
#> 129.1    30    96 180.1    42   108    97    86    14   101  97.1  26.1   192 
#> 23.41 17.43 14.54 14.82 12.43 18.29 19.14 23.81 12.89  9.97 19.14 15.77 16.44 
#>  42.1   155    51   164  90.2 108.1    91  49.1 187.1  86.1  49.2 157.1   175 
#> 12.43 13.08 18.23 23.60 20.94 18.29  5.33 12.19  9.92 23.81 12.19 15.10 21.91 
#>    52   194   197 180.2   153   110  77.1   136   188 180.3    36 188.1 194.1 
#> 10.42 22.40 21.60 14.82 21.33 17.56  7.27 21.83 16.16 14.82 21.19 16.16 22.40 
#> 166.2   149 145.1   113   130    29 133.1  43.1  52.1  26.2   111  96.1 155.1 
#> 19.98  8.37 10.07 22.86 16.47 15.45 14.65 12.10 10.42 15.77 17.45 14.54 13.08 
#>   127 180.4   106  91.1    93  90.3    18 192.1   140   100  52.2    79  97.2 
#>  3.53 14.82 16.67  5.33 10.33 20.94 15.21 16.44 12.68 16.07 10.42 16.23 19.14 
#> 187.2 110.1    24   125     6   183  24.1  66.1    37   185   137   132 185.1 
#>  9.92 17.56 23.89 15.65 15.64  9.24 23.89 22.13 12.52 24.00 24.00 24.00 24.00 
#>    64 132.1   122   118    62    47 132.2   172   176  47.1   182   142   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9   156     3   104    28 182.1    33 104.1    94   165    74    34    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7 176.1   196    98 118.1 176.2   9.1  34.1   173 172.1   141   186   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163    87 132.3    71   143   161    84   3.1    72  87.1  47.2   193 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1    53 122.1  71.1    67    46 182.2 196.1 132.4  87.2     2    27   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   9.2   138    35  64.1 186.1  87.3  19.1 142.2   178   162  67.1    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102  53.1 122.2 143.1  84.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[81]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004736228               0.687855344               0.191941776 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.309592235             0.008187698            -0.212990176 
#>   grade_iii, Cure model 
#>             0.587828218 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 139   21.49      1  63        1         0
#> 188   16.16      1  46        0         1
#> 32    20.90      1  37        1         0
#> 77     7.27      1  67        0         1
#> 134   17.81      1  47        1         0
#> 187    9.92      1  39        1         0
#> 29    15.45      1  68        1         0
#> 179   18.63      1  42        0         0
#> 68    20.62      1  44        0         0
#> 90    20.94      1  50        0         1
#> 57    14.46      1  45        0         1
#> 171   16.57      1  41        0         1
#> 194   22.40      1  38        0         1
#> 167   15.55      1  56        1         0
#> 179.1 18.63      1  42        0         0
#> 40    18.00      1  28        1         0
#> 183    9.24      1  67        1         0
#> 88    18.37      1  47        0         0
#> 195   11.76      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 59    10.16      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 99    21.19      1  38        0         1
#> 13    14.34      1  54        0         1
#> 59.2  10.16      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 69    23.23      1  25        0         1
#> 4     17.64      1  NA        0         1
#> 179.2 18.63      1  42        0         0
#> 15.1  22.68      1  48        0         0
#> 57.1  14.46      1  45        0         1
#> 30    17.43      1  78        0         0
#> 41    18.02      1  40        1         0
#> 164   23.60      1  76        0         1
#> 56    12.21      1  60        0         0
#> 24    23.89      1  38        0         0
#> 49    12.19      1  48        1         0
#> 93    10.33      1  52        0         1
#> 197   21.60      1  69        1         0
#> 106   16.67      1  49        1         0
#> 164.1 23.60      1  76        0         1
#> 154   12.63      1  20        1         0
#> 68.1  20.62      1  44        0         0
#> 93.1  10.33      1  52        0         1
#> 42    12.43      1  49        0         1
#> 23    16.92      1  61        0         0
#> 57.2  14.46      1  45        0         1
#> 177   12.53      1  75        0         0
#> 130   16.47      1  53        0         1
#> 166   19.98      1  48        0         0
#> 184   17.77      1  38        0         0
#> 105   19.75      1  60        0         0
#> 127    3.53      1  62        0         1
#> 18    15.21      1  49        1         0
#> 41.1  18.02      1  40        1         0
#> 49.1  12.19      1  48        1         0
#> 123   13.00      1  44        1         0
#> 40.1  18.00      1  28        1         0
#> 57.3  14.46      1  45        0         1
#> 197.1 21.60      1  69        1         0
#> 159   10.55      1  50        0         1
#> 70     7.38      1  30        1         0
#> 68.2  20.62      1  44        0         0
#> 110   17.56      1  65        0         1
#> 45    17.42      1  54        0         1
#> 136   21.83      1  43        0         1
#> 92    22.92      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 117   17.46      1  26        0         1
#> 133   14.65      1  57        0         0
#> 184.1 17.77      1  38        0         0
#> 194.1 22.40      1  38        0         1
#> 110.1 17.56      1  65        0         1
#> 49.2  12.19      1  48        1         0
#> 145   10.07      1  65        1         0
#> 8.1   18.43      1  32        0         0
#> 42.1  12.43      1  49        0         1
#> 136.1 21.83      1  43        0         1
#> 30.1  17.43      1  78        0         0
#> 85    16.44      1  36        0         0
#> 97    19.14      1  65        0         1
#> 179.3 18.63      1  42        0         0
#> 49.3  12.19      1  48        1         0
#> 154.1 12.63      1  20        1         0
#> 183.1  9.24      1  67        1         0
#> 23.1  16.92      1  61        0         0
#> 43    12.10      1  61        0         1
#> 14    12.89      1  21        0         0
#> 154.2 12.63      1  20        1         0
#> 36    21.19      1  48        0         1
#> 168   23.72      1  70        0         0
#> 139.1 21.49      1  63        1         0
#> 79    16.23      1  54        1         0
#> 57.4  14.46      1  45        0         1
#> 199   19.81      1  NA        0         1
#> 10    10.53      1  34        0         0
#> 85.1  16.44      1  36        0         0
#> 124    9.73      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 169.1 22.41      1  46        0         0
#> 140   12.68      1  59        1         0
#> 45.1  17.42      1  54        0         1
#> 105.1 19.75      1  60        0         0
#> 30.2  17.43      1  78        0         0
#> 70.1   7.38      1  30        1         0
#> 177.1 12.53      1  75        0         0
#> 91     5.33      1  61        0         1
#> 197.2 21.60      1  69        1         0
#> 166.1 19.98      1  48        0         0
#> 23.2  16.92      1  61        0         0
#> 51    18.23      1  83        0         1
#> 31    24.00      0  36        0         1
#> 156   24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 163   24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 83    24.00      0   6        0         0
#> 71    24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 83.1  24.00      0   6        0         0
#> 132   24.00      0  55        0         0
#> 65    24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 34    24.00      0  36        0         0
#> 135   24.00      0  58        1         0
#> 102   24.00      0  49        0         0
#> 165   24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 148   24.00      0  61        1         0
#> 198   24.00      0  66        0         1
#> 95    24.00      0  68        0         1
#> 84    24.00      0  39        0         1
#> 28    24.00      0  67        1         0
#> 102.1 24.00      0  49        0         0
#> 54    24.00      0  53        1         0
#> 132.1 24.00      0  55        0         0
#> 131.1 24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 84.1  24.00      0  39        0         1
#> 138   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 121   24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 53    24.00      0  32        0         1
#> 98    24.00      0  34        1         0
#> 44    24.00      0  56        0         0
#> 160   24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 148.1 24.00      0  61        1         0
#> 54.1  24.00      0  53        1         0
#> 191   24.00      0  60        0         1
#> 34.1  24.00      0  36        0         0
#> 196   24.00      0  19        0         0
#> 31.1  24.00      0  36        0         1
#> 109.1 24.00      0  48        0         0
#> 191.1 24.00      0  60        0         1
#> 116   24.00      0  58        0         1
#> 178.1 24.00      0  52        1         0
#> 141   24.00      0  44        1         0
#> 65.1  24.00      0  57        1         0
#> 64.1  24.00      0  43        0         0
#> 116.1 24.00      0  58        0         1
#> 21    24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 142   24.00      0  53        0         0
#> 83.2  24.00      0   6        0         0
#> 103   24.00      0  56        1         0
#> 74    24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 118.1 24.00      0  44        1         0
#> 95.1  24.00      0  68        0         1
#> 84.2  24.00      0  39        0         1
#> 156.1 24.00      0  50        1         0
#> 3.1   24.00      0  31        1         0
#> 116.2 24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 174   24.00      0  49        1         0
#> 3.2   24.00      0  31        1         0
#> 28.1  24.00      0  67        1         0
#> 48    24.00      0  31        1         0
#> 54.2  24.00      0  53        1         0
#> 132.2 24.00      0  55        0         0
#> 142.1 24.00      0  53        0         0
#> 84.3  24.00      0  39        0         1
#> 135.1 24.00      0  58        1         0
#> 27.1  24.00      0  63        1         0
#> 20.1  24.00      0  46        1         0
#> 83.3  24.00      0   6        0         0
#> 163.1 24.00      0  66        0         0
#> 148.2 24.00      0  61        1         0
#> 143   24.00      0  51        0         0
#> 126.1 24.00      0  48        0         0
#> 71.1  24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 131.2 24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.310          NA        NA      NA
#> 2 age, Cure model          0.00819        NA        NA      NA
#> 3 grade_ii, Cure model    -0.213          NA        NA      NA
#> 4 grade_iii, Cure model    0.588          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00474        NA        NA      NA
#> 2 grade_ii, Survival model   0.688          NA        NA      NA
#> 3 grade_iii, Survival model  0.192          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.309592          0.008188         -0.212990          0.587828  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 257.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.309592235      0.008187698     -0.212990176      0.587828218 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004736228      0.687855344      0.191941776 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.177745225 0.622329840 0.225373567 0.973528464 0.429480564 0.929218251
#>   [7] 0.651634696 0.311280017 0.234820878 0.215653511 0.680500290 0.573427976
#>  [13] 0.104737813 0.641906026 0.311280017 0.410467354 0.938223082 0.370203753
#>  [19] 0.082759223 0.061890916 0.196688282 0.727311918 0.350075078 0.040644294
#>  [25] 0.311280017 0.061890916 0.680500290 0.486443001 0.390777363 0.021939689
#>  [31] 0.829762336 0.003480718 0.839072301 0.902038657 0.148672771 0.563635944
#>  [37] 0.021939689 0.765528438 0.234820878 0.902038657 0.811297823 0.534479905
#>  [43] 0.680500290 0.792849845 0.583220386 0.262647569 0.438968962 0.281823733
#>  [49] 0.991168646 0.661299642 0.390777363 0.839072301 0.736932889 0.410467354
#>  [55] 0.680500290 0.148672771 0.883862614 0.955994073 0.234820878 0.457873925
#>  [61] 0.515128974 0.126678337 0.051230460 0.476864806 0.670883713 0.438968962
#>  [67] 0.104737813 0.457873925 0.839072301 0.920155994 0.350075078 0.811297823
#>  [73] 0.126678337 0.486443001 0.593022241 0.301328584 0.311280017 0.839072301
#>  [79] 0.765528438 0.938223082 0.534479905 0.874785565 0.746477206 0.765528438
#>  [85] 0.196688282 0.011523955 0.177745225 0.612564420 0.680500290 0.892943756
#>  [91] 0.593022241 0.632099186 0.082759223 0.756033091 0.515128974 0.281823733
#>  [97] 0.486443001 0.955994073 0.792849845 0.982344896 0.148672771 0.262647569
#> [103] 0.534479905 0.380465210 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   139   188    32    77   134   187    29   179    68    90    57   171   194 
#> 21.49 16.16 20.90  7.27 17.81  9.92 15.45 18.63 20.62 20.94 14.46 16.57 22.40 
#>   167 179.1    40   183    88   169    15    99    13     8    69 179.2  15.1 
#> 15.55 18.63 18.00  9.24 18.37 22.41 22.68 21.19 14.34 18.43 23.23 18.63 22.68 
#>  57.1    30    41   164    56    24    49    93   197   106 164.1   154  68.1 
#> 14.46 17.43 18.02 23.60 12.21 23.89 12.19 10.33 21.60 16.67 23.60 12.63 20.62 
#>  93.1    42    23  57.2   177   130   166   184   105   127    18  41.1  49.1 
#> 10.33 12.43 16.92 14.46 12.53 16.47 19.98 17.77 19.75  3.53 15.21 18.02 12.19 
#>   123  40.1  57.3 197.1   159    70  68.2   110    45   136    92   117   133 
#> 13.00 18.00 14.46 21.60 10.55  7.38 20.62 17.56 17.42 21.83 22.92 17.46 14.65 
#> 184.1 194.1 110.1  49.2   145   8.1  42.1 136.1  30.1    85    97 179.3  49.3 
#> 17.77 22.40 17.56 12.19 10.07 18.43 12.43 21.83 17.43 16.44 19.14 18.63 12.19 
#> 154.1 183.1  23.1    43    14 154.2    36   168 139.1    79  57.4    10  85.1 
#> 12.63  9.24 16.92 12.10 12.89 12.63 21.19 23.72 21.49 16.23 14.46 10.53 16.44 
#>   100 169.1   140  45.1 105.1  30.2  70.1 177.1    91 197.2 166.1  23.2    51 
#> 16.07 22.41 12.68 17.42 19.75 17.43  7.38 12.53  5.33 21.60 19.98 16.92 18.23 
#>    31   156    11   163   131    83    71   109    20  83.1   132    65   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   135   102   165   172    64   148   198    95    84    28 102.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1 131.1   185  84.1   138   121   104     3    94    53    98    44   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118 148.1  54.1   191  34.1   196  31.1 109.1 191.1   116 178.1   141  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1 116.1    21   126   142  83.2   103    74    27 118.1  95.1  84.2 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1 116.2    12   174   3.2  28.1    48  54.2 132.2 142.1  84.3 135.1  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1  83.3 163.1 148.2   143 126.1  71.1   162 131.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[82]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001880218               0.265437499               0.241402154 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.369766337             0.006382256            -0.161601005 
#>   grade_iii, Cure model 
#>             0.985392412 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 29    15.45      1  68        1         0
#> 30    17.43      1  78        0         0
#> 8     18.43      1  32        0         0
#> 97    19.14      1  65        0         1
#> 99    21.19      1  38        0         1
#> 149    8.37      1  33        1         0
#> 114   13.68      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 183    9.24      1  67        1         0
#> 88    18.37      1  47        0         0
#> 10    10.53      1  34        0         0
#> 5     16.43      1  51        0         1
#> 45    17.42      1  54        0         1
#> 183.1  9.24      1  67        1         0
#> 66    22.13      1  53        0         0
#> 55    19.34      1  69        0         1
#> 129   23.41      1  53        1         0
#> 150   20.33      1  48        0         0
#> 68    20.62      1  44        0         0
#> 51    18.23      1  83        0         1
#> 55.1  19.34      1  69        0         1
#> 129.1 23.41      1  53        1         0
#> 136   21.83      1  43        0         1
#> 40    18.00      1  28        1         0
#> 184   17.77      1  38        0         0
#> 55.2  19.34      1  69        0         1
#> 92    22.92      1  47        0         1
#> 128   20.35      1  35        0         1
#> 39    15.59      1  37        0         1
#> 114.1 13.68      1  NA        0         0
#> 61    10.12      1  36        0         1
#> 127    3.53      1  62        0         1
#> 86    23.81      1  58        0         1
#> 43    12.10      1  61        0         1
#> 113   22.86      1  34        0         0
#> 123   13.00      1  44        1         0
#> 26    15.77      1  49        0         1
#> 40.1  18.00      1  28        1         0
#> 175   21.91      1  43        0         0
#> 101    9.97      1  10        0         1
#> 16     8.71      1  71        0         1
#> 58    19.34      1  39        0         0
#> 117   17.46      1  26        0         1
#> 97.1  19.14      1  65        0         1
#> 180   14.82      1  37        0         0
#> 124    9.73      1  NA        1         0
#> 123.1 13.00      1  44        1         0
#> 113.1 22.86      1  34        0         0
#> 10.1  10.53      1  34        0         0
#> 88.1  18.37      1  47        0         0
#> 197   21.60      1  69        1         0
#> 117.1 17.46      1  26        0         1
#> 166   19.98      1  48        0         0
#> 85    16.44      1  36        0         0
#> 125   15.65      1  67        1         0
#> 133   14.65      1  57        0         0
#> 134   17.81      1  47        1         0
#> 4     17.64      1  NA        0         1
#> 197.1 21.60      1  69        1         0
#> 107   11.18      1  54        1         0
#> 79    16.23      1  54        1         0
#> 125.1 15.65      1  67        1         0
#> 183.2  9.24      1  67        1         0
#> 187    9.92      1  39        1         0
#> 23    16.92      1  61        0         0
#> 61.1  10.12      1  36        0         1
#> 6     15.64      1  39        0         0
#> 159   10.55      1  50        0         1
#> 51.1  18.23      1  83        0         1
#> 68.1  20.62      1  44        0         0
#> 110   17.56      1  65        0         1
#> 129.2 23.41      1  53        1         0
#> 99.1  21.19      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 5.1   16.43      1  51        0         1
#> 77     7.27      1  67        0         1
#> 14    12.89      1  21        0         0
#> 24    23.89      1  38        0         0
#> 13    14.34      1  54        0         1
#> 26.1  15.77      1  49        0         1
#> 111   17.45      1  47        0         1
#> 195   11.76      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 195.1 11.76      1  NA        1         0
#> 39.1  15.59      1  37        0         1
#> 10.2  10.53      1  34        0         0
#> 36    21.19      1  48        0         1
#> 16.1   8.71      1  71        0         1
#> 169   22.41      1  46        0         0
#> 194   22.40      1  38        0         1
#> 91     5.33      1  61        0         1
#> 154   12.63      1  20        1         0
#> 177   12.53      1  75        0         0
#> 90    20.94      1  50        0         1
#> 190   20.81      1  42        1         0
#> 16.2   8.71      1  71        0         1
#> 134.1 17.81      1  47        1         0
#> 50.1  10.02      1  NA        1         0
#> 36.1  21.19      1  48        0         1
#> 169.1 22.41      1  46        0         0
#> 37    12.52      1  57        1         0
#> 134.2 17.81      1  47        1         0
#> 93    10.33      1  52        0         1
#> 97.2  19.14      1  65        0         1
#> 99.2  21.19      1  38        0         1
#> 100   16.07      1  60        0         0
#> 8.1   18.43      1  32        0         0
#> 41    18.02      1  40        1         0
#> 51.2  18.23      1  83        0         1
#> 123.2 13.00      1  44        1         0
#> 55.3  19.34      1  69        0         1
#> 80    24.00      0  41        0         0
#> 116   24.00      0  58        0         1
#> 196   24.00      0  19        0         0
#> 7     24.00      0  37        1         0
#> 137   24.00      0  45        1         0
#> 135   24.00      0  58        1         0
#> 163   24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 112   24.00      0  61        0         0
#> 118   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 64    24.00      0  43        0         0
#> 185   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 38    24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 122.1 24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 46    24.00      0  71        0         0
#> 163.1 24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 22    24.00      0  52        1         0
#> 20.1  24.00      0  46        1         0
#> 1     24.00      0  23        1         0
#> 35    24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 109   24.00      0  48        0         0
#> 185.1 24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 144.1 24.00      0  28        0         1
#> 121   24.00      0  57        1         0
#> 147   24.00      0  76        1         0
#> 44.1  24.00      0  56        0         0
#> 73    24.00      0  NA        0         1
#> 115   24.00      0  NA        1         0
#> 33    24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 152   24.00      0  36        0         1
#> 131.1 24.00      0  66        0         0
#> 172.1 24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 182   24.00      0  35        0         0
#> 84    24.00      0  39        0         1
#> 126   24.00      0  48        0         0
#> 137.1 24.00      0  45        1         0
#> 160.1 24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 87    24.00      0  27        0         0
#> 148   24.00      0  61        1         0
#> 143   24.00      0  51        0         0
#> 116.1 24.00      0  58        0         1
#> 143.1 24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 142   24.00      0  53        0         0
#> 94.1  24.00      0  51        0         1
#> 44.2  24.00      0  56        0         0
#> 75.1  24.00      0  21        1         0
#> 62    24.00      0  71        0         0
#> 122.2 24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 75.2  24.00      0  21        1         0
#> 71    24.00      0  51        0         0
#> 73.1  24.00      0  NA        0         1
#> 132.1 24.00      0  55        0         0
#> 104.1 24.00      0  50        1         0
#> 135.1 24.00      0  58        1         0
#> 22.1  24.00      0  52        1         0
#> 151   24.00      0  42        0         0
#> 198   24.00      0  66        0         1
#> 118.1 24.00      0  44        1         0
#> 95.1  24.00      0  68        0         1
#> 33.1  24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 146   24.00      0  63        1         0
#> 48.1  24.00      0  31        1         0
#> 118.2 24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 19    24.00      0  57        0         1
#> 156   24.00      0  50        1         0
#> 104.2 24.00      0  50        1         0
#> 173.1 24.00      0  19        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.370          NA        NA      NA
#> 2 age, Cure model          0.00638        NA        NA      NA
#> 3 grade_ii, Cure model    -0.162          NA        NA      NA
#> 4 grade_iii, Cure model    0.985          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00188        NA        NA      NA
#> 2 grade_ii, Survival model   0.265          NA        NA      NA
#> 3 grade_iii, Survival model  0.241          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.369766          0.006382         -0.161601          0.985392  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 248.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.369766337      0.006382256     -0.161601005      0.985392412 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001880218      0.265437499      0.241402154 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.74908215 0.61743506 0.45803648 0.42089391 0.25111970 0.97079813
#>   [7] 0.78090780 0.92675399 0.47663843 0.86625304 0.65966381 0.62594523
#>  [13] 0.92675399 0.18901170 0.37440318 0.07042645 0.35377366 0.32279458
#>  [19] 0.49517364 0.37440318 0.07042645 0.21501801 0.53101896 0.57449507
#>  [25] 0.37440318 0.10936916 0.34341657 0.73313774 0.89660163 0.99273440
#>  [31] 0.04716115 0.84319346 0.12354256 0.78882767 0.69271163 0.53101896
#>  [37] 0.20204993 0.91167748 0.94889227 0.37440318 0.59187578 0.42089391
#>  [43] 0.75705613 0.78882767 0.12354256 0.86625304 0.47663843 0.22769567
#>  [49] 0.59187578 0.36410221 0.65126457 0.70897280 0.76502407 0.54870525
#>  [55] 0.22769567 0.85090969 0.67618763 0.70897280 0.92675399 0.91922820
#>  [61] 0.63440834 0.89660163 0.72505726 0.85859503 0.49517364 0.32279458
#>  [67] 0.58321382 0.07042645 0.25111970 0.44861518 0.65966381 0.97813416
#>  [73] 0.81206109 0.01858818 0.77298262 0.69271163 0.60890632 0.64285775
#>  [79] 0.73313774 0.86625304 0.25111970 0.94889227 0.14991067 0.17587894
#>  [85] 0.98544585 0.81987759 0.82766779 0.30156640 0.31225463 0.94889227
#>  [91] 0.54870525 0.25111970 0.14991067 0.83544691 0.54870525 0.88898517
#>  [97] 0.42089391 0.25111970 0.68445559 0.45803648 0.52198735 0.49517364
#> [103] 0.78882767 0.37440318 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    29    30     8    97    99   149    81   183    88    10     5    45 183.1 
#> 15.45 17.43 18.43 19.14 21.19  8.37 14.06  9.24 18.37 10.53 16.43 17.42  9.24 
#>    66    55   129   150    68    51  55.1 129.1   136    40   184  55.2    92 
#> 22.13 19.34 23.41 20.33 20.62 18.23 19.34 23.41 21.83 18.00 17.77 19.34 22.92 
#>   128    39    61   127    86    43   113   123    26  40.1   175   101    16 
#> 20.35 15.59 10.12  3.53 23.81 12.10 22.86 13.00 15.77 18.00 21.91  9.97  8.71 
#>    58   117  97.1   180 123.1 113.1  10.1  88.1   197 117.1   166    85   125 
#> 19.34 17.46 19.14 14.82 13.00 22.86 10.53 18.37 21.60 17.46 19.98 16.44 15.65 
#>   133   134 197.1   107    79 125.1 183.2   187    23  61.1     6   159  51.1 
#> 14.65 17.81 21.60 11.18 16.23 15.65  9.24  9.92 16.92 10.12 15.64 10.55 18.23 
#>  68.1   110 129.2  99.1   179   5.1    77    14    24    13  26.1   111   181 
#> 20.62 17.56 23.41 21.19 18.63 16.43  7.27 12.89 23.89 14.34 15.77 17.45 16.46 
#>  39.1  10.2    36  16.1   169   194    91   154   177    90   190  16.2 134.1 
#> 15.59 10.53 21.19  8.71 22.41 22.40  5.33 12.63 12.53 20.94 20.81  8.71 17.81 
#>  36.1 169.1    37 134.2    93  97.2  99.2   100   8.1    41  51.2 123.2  55.3 
#> 21.19 22.41 12.52 17.81 10.33 19.14 21.19 16.07 18.43 18.02 18.23 13.00 19.34 
#>    80   116   196     7   137   135   163    20   112   118   160   131   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193    64   185   173    38   172 122.1    53    46 163.1    48    95   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22  20.1     1    35    44   109 185.1     3 144.1   121   147  44.1    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191   152 131.1 172.1    94   182    84   126 137.1 160.1    31    75    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   143 116.1 143.1   132   142  94.1  44.2  75.1    62 122.2   104  75.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71 132.1 104.1 135.1  22.1   151   198 118.1  95.1  33.1    82   146  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.2    27   178    19   156 104.2 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[83]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01186965                0.35522198               -0.05790933 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.88470239              0.01788684              0.26480711 
#>   grade_iii, Cure model 
#>              0.36824527 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 164   23.60      1  76        0         1
#> 69    23.23      1  25        0         1
#> 56    12.21      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 113   22.86      1  34        0         0
#> 168   23.72      1  70        0         0
#> 155   13.08      1  26        0         0
#> 107   11.18      1  54        1         0
#> 86    23.81      1  58        0         1
#> 42    12.43      1  49        0         1
#> 108   18.29      1  39        0         1
#> 177   12.53      1  75        0         0
#> 110   17.56      1  65        0         1
#> 106   16.67      1  49        1         0
#> 105   19.75      1  60        0         0
#> 197   21.60      1  69        1         0
#> 170   19.54      1  43        0         1
#> 157   15.10      1  47        0         0
#> 183    9.24      1  67        1         0
#> 108.1 18.29      1  39        0         1
#> 40    18.00      1  28        1         0
#> 195   11.76      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 100   16.07      1  60        0         0
#> 188   16.16      1  46        0         1
#> 36    21.19      1  48        0         1
#> 89    11.44      1  NA        0         0
#> 25     6.32      1  34        1         0
#> 70     7.38      1  30        1         0
#> 199   19.81      1  NA        0         1
#> 29    15.45      1  68        1         0
#> 51    18.23      1  83        0         1
#> 106.1 16.67      1  49        1         0
#> 190   20.81      1  42        1         0
#> 6     15.64      1  39        0         0
#> 24    23.89      1  38        0         0
#> 127.1  3.53      1  62        0         1
#> 61    10.12      1  36        0         1
#> 188.1 16.16      1  46        0         1
#> 157.1 15.10      1  47        0         0
#> 188.2 16.16      1  46        0         1
#> 41    18.02      1  40        1         0
#> 100.1 16.07      1  60        0         0
#> 158   20.14      1  74        1         0
#> 93    10.33      1  52        0         1
#> 123   13.00      1  44        1         0
#> 92    22.92      1  47        0         1
#> 68    20.62      1  44        0         0
#> 93.1  10.33      1  52        0         1
#> 113.1 22.86      1  34        0         0
#> 77     7.27      1  67        0         1
#> 108.2 18.29      1  39        0         1
#> 106.2 16.67      1  49        1         0
#> 177.1 12.53      1  75        0         0
#> 50    10.02      1  NA        1         0
#> 123.1 13.00      1  44        1         0
#> 140   12.68      1  59        1         0
#> 25.1   6.32      1  34        1         0
#> 18.1  15.21      1  49        1         0
#> 10    10.53      1  34        0         0
#> 26    15.77      1  49        0         1
#> 199.1 19.81      1  NA        0         1
#> 97    19.14      1  65        0         1
#> 145   10.07      1  65        1         0
#> 180   14.82      1  37        0         0
#> 192   16.44      1  31        1         0
#> 36.1  21.19      1  48        0         1
#> 197.1 21.60      1  69        1         0
#> 101    9.97      1  10        0         1
#> 76    19.22      1  54        0         1
#> 81    14.06      1  34        0         0
#> 92.1  22.92      1  47        0         1
#> 36.2  21.19      1  48        0         1
#> 139   21.49      1  63        1         0
#> 51.1  18.23      1  83        0         1
#> 32    20.90      1  37        1         0
#> 6.1   15.64      1  39        0         0
#> 36.3  21.19      1  48        0         1
#> 36.4  21.19      1  48        0         1
#> 61.1  10.12      1  36        0         1
#> 187    9.92      1  39        1         0
#> 32.1  20.90      1  37        1         0
#> 55    19.34      1  69        0         1
#> 10.1  10.53      1  34        0         0
#> 70.1   7.38      1  30        1         0
#> 85    16.44      1  36        0         0
#> 88    18.37      1  47        0         0
#> 26.1  15.77      1  49        0         1
#> 154   12.63      1  20        1         0
#> 108.3 18.29      1  39        0         1
#> 92.2  22.92      1  47        0         1
#> 42.1  12.43      1  49        0         1
#> 123.2 13.00      1  44        1         0
#> 180.1 14.82      1  37        0         0
#> 124    9.73      1  NA        1         0
#> 89.1  11.44      1  NA        0         0
#> 197.2 21.60      1  69        1         0
#> 42.2  12.43      1  49        0         1
#> 125   15.65      1  67        1         0
#> 79    16.23      1  54        1         0
#> 18.2  15.21      1  49        1         0
#> 77.1   7.27      1  67        0         1
#> 164.1 23.60      1  76        0         1
#> 190.1 20.81      1  42        1         0
#> 90    20.94      1  50        0         1
#> 56.1  12.21      1  60        0         0
#> 13    14.34      1  54        0         1
#> 105.1 19.75      1  60        0         0
#> 106.3 16.67      1  49        1         0
#> 101.1  9.97      1  10        0         1
#> 124.1  9.73      1  NA        1         0
#> 7     24.00      0  37        1         0
#> 173   24.00      0  19        0         1
#> 34    24.00      0  36        0         0
#> 102   24.00      0  49        0         0
#> 35    24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 7.1   24.00      0  37        1         0
#> 27    24.00      0  63        1         0
#> 74    24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 135   24.00      0  58        1         0
#> 64    24.00      0  43        0         0
#> 17    24.00      0  38        0         1
#> 11    24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 48    24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 174   24.00      0  49        1         0
#> 146.1 24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 72    24.00      0  40        0         1
#> 191   24.00      0  60        0         1
#> 118   24.00      0  44        1         0
#> 74.1  24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 21    24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 17.1  24.00      0  38        0         1
#> 182.1 24.00      0  35        0         0
#> 119   24.00      0  17        0         0
#> 35.1  24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 115   24.00      0  NA        1         0
#> 80    24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 146.2 24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 35.2  24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 28    24.00      0  67        1         0
#> 144   24.00      0  28        0         1
#> 116   24.00      0  58        0         1
#> 72.1  24.00      0  40        0         1
#> 151.1 24.00      0  42        0         0
#> 161   24.00      0  45        0         0
#> 47.1  24.00      0  38        0         1
#> 27.1  24.00      0  63        1         0
#> 74.2  24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 132   24.00      0  55        0         0
#> 11.1  24.00      0  42        0         1
#> 142   24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 64.1  24.00      0  43        0         0
#> 115.1 24.00      0  NA        1         0
#> 178.1 24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 1     24.00      0  23        1         0
#> 146.3 24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 176   24.00      0  43        0         1
#> 144.1 24.00      0  28        0         1
#> 147   24.00      0  76        1         0
#> 104   24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 64.2  24.00      0  43        0         0
#> 84    24.00      0  39        0         1
#> 151.2 24.00      0  42        0         0
#> 151.3 24.00      0  42        0         0
#> 31    24.00      0  36        0         1
#> 19.1  24.00      0  57        0         1
#> 172   24.00      0  41        0         0
#> 116.1 24.00      0  58        0         1
#> 17.2  24.00      0  38        0         1
#> 104.1 24.00      0  50        1         0
#> 116.2 24.00      0  58        0         1
#> 173.1 24.00      0  19        0         1
#> 121   24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 31.1  24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 104.2 24.00      0  50        1         0
#> 9.1   24.00      0  31        1         0
#> 72.2  24.00      0  40        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.885         NA        NA      NA
#> 2 age, Cure model           0.0179        NA        NA      NA
#> 3 grade_ii, Cure model      0.265         NA        NA      NA
#> 4 grade_iii, Cure model     0.368         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0119        NA        NA      NA
#> 2 grade_ii, Survival model    0.355         NA        NA      NA
#> 3 grade_iii, Survival model  -0.0579        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.88470           0.01789           0.26481           0.36825  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 254.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.88470239       0.01788684       0.26480711       0.36824527 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01186965       0.35522198      -0.05790933 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0031437243 0.0074653381 0.6849157663 0.4373720533 0.0198732022
#>   [6] 0.0016468756 0.5445985075 0.7119538957 0.0006695393 0.6455453649
#>  [11] 0.1699716671 0.6197748393 0.2406954958 0.2503692879 0.1163832206
#>  [16] 0.0277810947 0.1305065449 0.4718240726 0.8672889597 0.1699716671
#>  [21] 0.2312360377 0.9699411029 0.3484501761 0.3178141483 0.0457583144
#>  [26] 0.9403840964 0.8818966372 0.4257634021 0.2033221151 0.2503692879
#>  [31] 0.0902432734 0.4030843610 0.0001393007 0.9699411029 0.7811986542
#>  [36] 0.3178141483 0.4718240726 0.3178141483 0.2217676740 0.3484501761
#>  [41] 0.1095314330 0.7531826819 0.5571463421 0.0104026859 0.1028499761
#>  [46] 0.7531826819 0.0198732022 0.9108709428 0.1699716671 0.2503692879
#>  [51] 0.6197748393 0.5571463421 0.5943269978 0.9403840964 0.4373720533
#>  [56] 0.7256691732 0.3698342583 0.1535309366 0.8096063506 0.4955819360
#>  [61] 0.2879987273 0.0457583144 0.0277810947 0.8240239374 0.1456356937
#>  [66] 0.5321269834 0.0104026859 0.0457583144 0.0406978003 0.2033221151
#>  [71] 0.0778697510 0.4030843610 0.0457583144 0.0457583144 0.7811986542
#>  [76] 0.8527683508 0.0778697510 0.1379500181 0.7256691732 0.8818966372
#>  [81] 0.2879987273 0.1616619238 0.3698342583 0.6070675880 0.1699716671
#>  [86] 0.0104026859 0.6455453649 0.5571463421 0.4955819360 0.0277810947
#>  [91] 0.6455453649 0.3918191087 0.3077123968 0.4373720533 0.9108709428
#>  [96] 0.0031437243 0.0902432734 0.0715026967 0.6849157663 0.5197517807
#> [101] 0.1163832206 0.2503692879 0.8240239374 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   164    69    56    18   113   168   155   107    86    42   108   177   110 
#> 23.60 23.23 12.21 15.21 22.86 23.72 13.08 11.18 23.81 12.43 18.29 12.53 17.56 
#>   106   105   197   170   157   183 108.1    40   127   100   188    36    25 
#> 16.67 19.75 21.60 19.54 15.10  9.24 18.29 18.00  3.53 16.07 16.16 21.19  6.32 
#>    70    29    51 106.1   190     6    24 127.1    61 188.1 157.1 188.2    41 
#>  7.38 15.45 18.23 16.67 20.81 15.64 23.89  3.53 10.12 16.16 15.10 16.16 18.02 
#> 100.1   158    93   123    92    68  93.1 113.1    77 108.2 106.2 177.1 123.1 
#> 16.07 20.14 10.33 13.00 22.92 20.62 10.33 22.86  7.27 18.29 16.67 12.53 13.00 
#>   140  25.1  18.1    10    26    97   145   180   192  36.1 197.1   101    76 
#> 12.68  6.32 15.21 10.53 15.77 19.14 10.07 14.82 16.44 21.19 21.60  9.97 19.22 
#>    81  92.1  36.2   139  51.1    32   6.1  36.3  36.4  61.1   187  32.1    55 
#> 14.06 22.92 21.19 21.49 18.23 20.90 15.64 21.19 21.19 10.12  9.92 20.90 19.34 
#>  10.1  70.1    85    88  26.1   154 108.3  92.2  42.1 123.2 180.1 197.2  42.2 
#> 10.53  7.38 16.44 18.37 15.77 12.63 18.29 22.92 12.43 13.00 14.82 21.60 12.43 
#>   125    79  18.2  77.1 164.1 190.1    90  56.1    13 105.1 106.3 101.1     7 
#> 15.65 16.23 15.21  7.27 23.60 20.81 20.94 12.21 14.34 19.75 16.67  9.97 24.00 
#>   173    34   102    35   182   7.1    27    74   103   135    64    17    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    48   196   174 146.1   120    72   191   118  74.1   200    21   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1 182.1   119  35.1     9   151    80    47     2 146.2   185  35.2    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   116  72.1 151.1   161  47.1  27.1  74.2    67   132  11.1   142   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1 178.1    94     1 146.3   186    95    53   176 144.1   147   104    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.2    84 151.2 151.3    31  19.1   172 116.1  17.2 104.1 116.2 173.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20  31.1    46 104.2   9.1  72.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[84]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01053544                0.34875638                0.32657547 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -1.3332635               0.0239310               0.2907534 
#>   grade_iii, Cure model 
#>               0.6292616 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 140   12.68      1  59        1         0
#> 85    16.44      1  36        0         0
#> 26    15.77      1  49        0         1
#> 187    9.92      1  39        1         0
#> 153   21.33      1  55        1         0
#> 184   17.77      1  38        0         0
#> 97    19.14      1  65        0         1
#> 145   10.07      1  65        1         0
#> 159   10.55      1  50        0         1
#> 124    9.73      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 188   16.16      1  46        0         1
#> 111   17.45      1  47        0         1
#> 133   14.65      1  57        0         0
#> 117   17.46      1  26        0         1
#> 195   11.76      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 197   21.60      1  69        1         0
#> 123   13.00      1  44        1         0
#> 194   22.40      1  38        0         1
#> 192   16.44      1  31        1         0
#> 52    10.42      1  52        0         1
#> 158   20.14      1  74        1         0
#> 134   17.81      1  47        1         0
#> 16     8.71      1  71        0         1
#> 129   23.41      1  53        1         0
#> 199   19.81      1  NA        0         1
#> 39    15.59      1  37        0         1
#> 167   15.55      1  56        1         0
#> 90    20.94      1  50        0         1
#> 105   19.75      1  60        0         0
#> 93    10.33      1  52        0         1
#> 66    22.13      1  53        0         0
#> 190   20.81      1  42        1         0
#> 91     5.33      1  61        0         1
#> 171   16.57      1  41        0         1
#> 23    16.92      1  61        0         0
#> 43    12.10      1  61        0         1
#> 59    10.16      1  NA        1         0
#> 66.1  22.13      1  53        0         0
#> 177.1 12.53      1  75        0         0
#> 91.1   5.33      1  61        0         1
#> 41    18.02      1  40        1         0
#> 5     16.43      1  51        0         1
#> 110   17.56      1  65        0         1
#> 189   10.51      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 125   15.65      1  67        1         0
#> 36    21.19      1  48        0         1
#> 133.1 14.65      1  57        0         0
#> 139   21.49      1  63        1         0
#> 117.1 17.46      1  26        0         1
#> 61    10.12      1  36        0         1
#> 40    18.00      1  28        1         0
#> 100   16.07      1  60        0         0
#> 90.1  20.94      1  50        0         1
#> 56    12.21      1  60        0         0
#> 168   23.72      1  70        0         0
#> 93.1  10.33      1  52        0         1
#> 18    15.21      1  49        1         0
#> 99    21.19      1  38        0         1
#> 26.1  15.77      1  49        0         1
#> 99.1  21.19      1  38        0         1
#> 179   18.63      1  42        0         0
#> 149    8.37      1  33        1         0
#> 70     7.38      1  30        1         0
#> 124.1  9.73      1  NA        1         0
#> 177.2 12.53      1  75        0         0
#> 29    15.45      1  68        1         0
#> 192.1 16.44      1  31        1         0
#> 42    12.43      1  49        0         1
#> 68    20.62      1  44        0         0
#> 37    12.52      1  57        1         0
#> 41.1  18.02      1  40        1         0
#> 166   19.98      1  48        0         0
#> 52.1  10.42      1  52        0         1
#> 52.2  10.42      1  52        0         1
#> 63    22.77      1  31        1         0
#> 41.2  18.02      1  40        1         0
#> 177.3 12.53      1  75        0         0
#> 5.1   16.43      1  51        0         1
#> 97.1  19.14      1  65        0         1
#> 99.2  21.19      1  38        0         1
#> 41.3  18.02      1  40        1         0
#> 105.1 19.75      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 125.1 15.65      1  67        1         0
#> 86    23.81      1  58        0         1
#> 85.1  16.44      1  36        0         0
#> 86.1  23.81      1  58        0         1
#> 24    23.89      1  38        0         0
#> 145.1 10.07      1  65        1         0
#> 127    3.53      1  62        0         1
#> 4     17.64      1  NA        0         1
#> 167.1 15.55      1  56        1         0
#> 140.1 12.68      1  59        1         0
#> 43.1  12.10      1  61        0         1
#> 192.2 16.44      1  31        1         0
#> 18.1  15.21      1  49        1         0
#> 36.1  21.19      1  48        0         1
#> 56.1  12.21      1  60        0         0
#> 153.1 21.33      1  55        1         0
#> 194.1 22.40      1  38        0         1
#> 189.1 10.51      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 4.1   17.64      1  NA        0         1
#> 66.2  22.13      1  53        0         0
#> 29.1  15.45      1  68        1         0
#> 169   22.41      1  46        0         0
#> 128   20.35      1  35        0         1
#> 101    9.97      1  10        0         1
#> 91.2   5.33      1  61        0         1
#> 151   24.00      0  42        0         0
#> 53    24.00      0  32        0         1
#> 72    24.00      0  40        0         1
#> 146   24.00      0  63        1         0
#> 11    24.00      0  42        0         1
#> 162   24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 193   24.00      0  45        0         1
#> 44    24.00      0  56        0         0
#> 9     24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 64    24.00      0  43        0         0
#> 191   24.00      0  60        0         1
#> 17    24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 165   24.00      0  47        0         0
#> 147   24.00      0  76        1         0
#> 104   24.00      0  50        1         0
#> 162.1 24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 196   24.00      0  19        0         0
#> 2     24.00      0   9        0         0
#> 120   24.00      0  68        0         1
#> 72.1  24.00      0  40        0         1
#> 46    24.00      0  71        0         0
#> 193.1 24.00      0  45        0         1
#> 186   24.00      0  45        1         0
#> 53.1  24.00      0  32        0         1
#> 152   24.00      0  36        0         1
#> 48    24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 9.1   24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 47    24.00      0  38        0         1
#> 162.2 24.00      0  51        0         0
#> 64.1  24.00      0  43        0         0
#> 193.2 24.00      0  45        0         1
#> 1.1   24.00      0  23        1         0
#> 35    24.00      0  51        0         0
#> 147.1 24.00      0  76        1         0
#> 3     24.00      0  31        1         0
#> 193.3 24.00      0  45        0         1
#> 163   24.00      0  66        0         0
#> 28.1  24.00      0  67        1         0
#> 118   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 191.1 24.00      0  60        0         1
#> 151.1 24.00      0  42        0         0
#> 83    24.00      0   6        0         0
#> 53.2  24.00      0  32        0         1
#> 109   24.00      0  48        0         0
#> 174   24.00      0  49        1         0
#> 178.1 24.00      0  52        1         0
#> 104.1 24.00      0  50        1         0
#> 122   24.00      0  66        0         0
#> 17.1  24.00      0  38        0         1
#> 19    24.00      0  57        0         1
#> 28.2  24.00      0  67        1         0
#> 137   24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 176   24.00      0  43        0         1
#> 120.1 24.00      0  68        0         1
#> 53.3  24.00      0  32        0         1
#> 182   24.00      0  35        0         0
#> 118.1 24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 19.1  24.00      0  57        0         1
#> 116   24.00      0  58        0         1
#> 48.1  24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 28.3  24.00      0  67        1         0
#> 173   24.00      0  19        0         1
#> 151.2 24.00      0  42        0         0
#> 126   24.00      0  48        0         0
#> 173.1 24.00      0  19        0         1
#> 176.1 24.00      0  43        0         1
#> 176.2 24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 98    24.00      0  34        1         0
#> 131   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 141   24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 109.1 24.00      0  48        0         0
#> 198   24.00      0  66        0         1
#> 80    24.00      0  41        0         0
#> 132.1 24.00      0  55        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.33          NA        NA      NA
#> 2 age, Cure model           0.0239        NA        NA      NA
#> 3 grade_ii, Cure model      0.291         NA        NA      NA
#> 4 grade_iii, Cure model     0.629         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0105        NA        NA      NA
#> 2 grade_ii, Survival model    0.349         NA        NA      NA
#> 3 grade_iii, Survival model   0.327         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.33326           0.02393           0.29075           0.62926  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 254.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.3332635        0.0239310        0.2907534        0.6292616 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01053544       0.34875638       0.32657547 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.85734542 0.71542952 0.77238052 0.96464032 0.41450477 0.65230937
#>   [7] 0.58285221 0.95093569 0.91789208 0.70870952 0.75989358 0.68117957
#>  [13] 0.84118208 0.66698196 0.86783847 0.38629827 0.85197468 0.30688277
#>  [19] 0.71542952 0.92274828 0.53852805 0.64486008 0.96918349 0.24298805
#>  [25] 0.79630814 0.80218102 0.48973598 0.55675422 0.93692910 0.34114949
#>  [31] 0.50956876 0.98262987 0.70189761 0.69500983 0.90813602 0.34114949
#>  [37] 0.86783847 0.98262987 0.60725253 0.74728396 0.65971702 0.57423548
#>  [43] 0.78451496 0.43896563 0.84118208 0.40083583 0.66698196 0.94627487
#>  [49] 0.63729495 0.76615948 0.48973598 0.89820543 0.21657757 0.93692910
#>  [55] 0.82476879 0.43896563 0.77238052 0.43896563 0.59912300 0.97368596
#>  [61] 0.97816756 0.86783847 0.81362391 0.71542952 0.89317718 0.51935167
#>  [67] 0.88811121 0.60725253 0.54769103 0.92274828 0.92274828 0.26574927
#>  [73] 0.60725253 0.86783847 0.74728396 0.58285221 0.43896563 0.60725253
#>  [79] 0.55675422 0.68117957 0.78451496 0.15996055 0.71542952 0.15996055
#>  [85] 0.08184601 0.95093569 0.99566684 0.80218102 0.85734542 0.90813602
#>  [91] 0.71542952 0.82476879 0.43896563 0.89820543 0.41450477 0.30688277
#>  [97] 0.83571039 0.34114949 0.81362391 0.28677516 0.52902712 0.96007268
#> [103] 0.98262987 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   140    85    26   187   153   184    97   145   159   130   188   111   133 
#> 12.68 16.44 15.77  9.92 21.33 17.77 19.14 10.07 10.55 16.47 16.16 17.45 14.65 
#>   117   177   197   123   194   192    52   158   134    16   129    39   167 
#> 17.46 12.53 21.60 13.00 22.40 16.44 10.42 20.14 17.81  8.71 23.41 15.59 15.55 
#>    90   105    93    66   190    91   171    23    43  66.1 177.1  91.1    41 
#> 20.94 19.75 10.33 22.13 20.81  5.33 16.57 16.92 12.10 22.13 12.53  5.33 18.02 
#>     5   110    76   125    36 133.1   139 117.1    61    40   100  90.1    56 
#> 16.43 17.56 19.22 15.65 21.19 14.65 21.49 17.46 10.12 18.00 16.07 20.94 12.21 
#>   168  93.1    18    99  26.1  99.1   179   149    70 177.2    29 192.1    42 
#> 23.72 10.33 15.21 21.19 15.77 21.19 18.63  8.37  7.38 12.53 15.45 16.44 12.43 
#>    68    37  41.1   166  52.1  52.2    63  41.2 177.3   5.1  97.1  99.2  41.3 
#> 20.62 12.52 18.02 19.98 10.42 10.42 22.77 18.02 12.53 16.43 19.14 21.19 18.02 
#> 105.1 111.1 125.1    86  85.1  86.1    24 145.1   127 167.1 140.1  43.1 192.2 
#> 19.75 17.45 15.65 23.81 16.44 23.81 23.89 10.07  3.53 15.55 12.68 12.10 16.44 
#>  18.1  36.1  56.1 153.1 194.1   180  66.2  29.1   169   128   101  91.2   151 
#> 15.21 21.19 12.21 21.33 22.40 14.82 22.13 15.45 22.41 20.35  9.97  5.33 24.00 
#>    53    72   146    11   162     7   193    44     9   132    64   191    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   165   147   104 162.1    65     1   196     2   120  72.1    46 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186  53.1   152    48    94   9.1   178    47 162.2  64.1 193.2   1.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.1     3 193.3   163  28.1   118 191.1 151.1    83  53.2   109   174 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1   122  17.1    19  28.2   137    27   176 120.1  53.3   182 118.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1   116  48.1    75  28.3   173 151.2   126 173.1 176.1 176.2   112    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   148   141  46.1 109.1   198    80 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[85]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008258835               1.062187192               0.428132087 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.10874338              0.02191526              0.05460031 
#>   grade_iii, Cure model 
#>              0.72909090 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 30    17.43      1  78        0         0
#> 88    18.37      1  47        0         0
#> 68    20.62      1  44        0         0
#> 66    22.13      1  53        0         0
#> 107   11.18      1  54        1         0
#> 30.1  17.43      1  78        0         0
#> 39    15.59      1  37        0         1
#> 10    10.53      1  34        0         0
#> 113   22.86      1  34        0         0
#> 181   16.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 39.1  15.59      1  37        0         1
#> 85    16.44      1  36        0         0
#> 188   16.16      1  46        0         1
#> 139   21.49      1  63        1         0
#> 145   10.07      1  65        1         0
#> 192   16.44      1  31        1         0
#> 159   10.55      1  50        0         1
#> 76    19.22      1  54        0         1
#> 25     6.32      1  34        1         0
#> 155   13.08      1  26        0         0
#> 42    12.43      1  49        0         1
#> 18    15.21      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 181.1 16.46      1  45        0         1
#> 168   23.72      1  70        0         0
#> 61    10.12      1  36        0         1
#> 58    19.34      1  39        0         0
#> 78    23.88      1  43        0         0
#> 164   23.60      1  76        0         1
#> 49    12.19      1  48        1         0
#> 140   12.68      1  59        1         0
#> 86    23.81      1  58        0         1
#> 145.1 10.07      1  65        1         0
#> 184   17.77      1  38        0         0
#> 86.1  23.81      1  58        0         1
#> 5     16.43      1  51        0         1
#> 18.1  15.21      1  49        1         0
#> 26.1  15.77      1  49        0         1
#> 49.1  12.19      1  48        1         0
#> 69    23.23      1  25        0         1
#> 197   21.60      1  69        1         0
#> 4     17.64      1  NA        0         1
#> 24    23.89      1  38        0         0
#> 25.1   6.32      1  34        1         0
#> 153   21.33      1  55        1         0
#> 10.1  10.53      1  34        0         0
#> 194   22.40      1  38        0         1
#> 183    9.24      1  67        1         0
#> 85.1  16.44      1  36        0         0
#> 41    18.02      1  40        1         0
#> 124    9.73      1  NA        1         0
#> 140.1 12.68      1  59        1         0
#> 77     7.27      1  67        0         1
#> 8     18.43      1  32        0         0
#> 51    18.23      1  83        0         1
#> 184.1 17.77      1  38        0         0
#> 59    10.16      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 168.1 23.72      1  70        0         0
#> 171   16.57      1  41        0         1
#> 59.1  10.16      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 149    8.37      1  33        1         0
#> 133   14.65      1  57        0         0
#> 85.2  16.44      1  36        0         0
#> 81    14.06      1  34        0         0
#> 43    12.10      1  61        0         1
#> 188.1 16.16      1  46        0         1
#> 79    16.23      1  54        1         0
#> 55    19.34      1  69        0         1
#> 51.1  18.23      1  83        0         1
#> 110   17.56      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 15    22.68      1  48        0         0
#> 4.1   17.64      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 99    21.19      1  38        0         1
#> 194.1 22.40      1  38        0         1
#> 110.1 17.56      1  65        0         1
#> 184.2 17.77      1  38        0         0
#> 40    18.00      1  28        1         0
#> 124.1  9.73      1  NA        1         0
#> 66.1  22.13      1  53        0         0
#> 77.1   7.27      1  67        0         1
#> 180   14.82      1  37        0         0
#> 56    12.21      1  60        0         0
#> 150   20.33      1  48        0         0
#> 166   19.98      1  48        0         0
#> 164.1 23.60      1  76        0         1
#> 187.1  9.92      1  39        1         0
#> 43.1  12.10      1  61        0         1
#> 37    12.52      1  57        1         0
#> 150.1 20.33      1  48        0         0
#> 187.2  9.92      1  39        1         0
#> 145.2 10.07      1  65        1         0
#> 97    19.14      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 168.2 23.72      1  70        0         0
#> 42.1  12.43      1  49        0         1
#> 124.2  9.73      1  NA        1         0
#> 37.1  12.52      1  57        1         0
#> 58.1  19.34      1  39        0         0
#> 23    16.92      1  61        0         0
#> 39.2  15.59      1  37        0         1
#> 45    17.42      1  54        0         1
#> 57    14.46      1  45        0         1
#> 40.1  18.00      1  28        1         0
#> 166.1 19.98      1  48        0         0
#> 166.2 19.98      1  48        0         0
#> 32    20.90      1  37        1         0
#> 77.2   7.27      1  67        0         1
#> 53    24.00      0  32        0         1
#> 102   24.00      0  49        0         0
#> 17    24.00      0  38        0         1
#> 73    24.00      0  NA        0         1
#> 193   24.00      0  45        0         1
#> 122   24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 75    24.00      0  21        1         0
#> 21    24.00      0  47        0         0
#> 193.1 24.00      0  45        0         1
#> 138   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 191   24.00      0  60        0         1
#> 174   24.00      0  49        1         0
#> 119   24.00      0  17        0         0
#> 148   24.00      0  61        1         0
#> 34    24.00      0  36        0         0
#> 146   24.00      0  63        1         0
#> 72    24.00      0  40        0         1
#> 94    24.00      0  51        0         1
#> 176   24.00      0  43        0         1
#> 138.1 24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 196   24.00      0  19        0         0
#> 122.1 24.00      0  66        0         0
#> 193.2 24.00      0  45        0         1
#> 53.1  24.00      0  32        0         1
#> 1     24.00      0  23        1         0
#> 17.1  24.00      0  38        0         1
#> 62    24.00      0  71        0         0
#> 163   24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 17.2  24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 152   24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 74    24.00      0  43        0         1
#> 53.2  24.00      0  32        0         1
#> 198   24.00      0  66        0         1
#> 103   24.00      0  56        1         0
#> 112   24.00      0  61        0         0
#> 48    24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 2     24.00      0   9        0         0
#> 178   24.00      0  52        1         0
#> 17.3  24.00      0  38        0         1
#> 137   24.00      0  45        1         0
#> 122.2 24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 20    24.00      0  46        1         0
#> 196.1 24.00      0  19        0         0
#> 147   24.00      0  76        1         0
#> 109   24.00      0  48        0         0
#> 47    24.00      0  38        0         1
#> 35    24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 44    24.00      0  56        0         0
#> 21.1  24.00      0  47        0         0
#> 116   24.00      0  58        0         1
#> 156   24.00      0  50        1         0
#> 109.1 24.00      0  48        0         0
#> 34.1  24.00      0  36        0         0
#> 162   24.00      0  51        0         0
#> 122.3 24.00      0  66        0         0
#> 83    24.00      0   6        0         0
#> 7.1   24.00      0  37        1         0
#> 174.1 24.00      0  49        1         0
#> 83.1  24.00      0   6        0         0
#> 172   24.00      0  41        0         0
#> 102.1 24.00      0  49        0         0
#> 87    24.00      0  27        0         0
#> 118   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 141   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 132.1 24.00      0  55        0         0
#> 75.1  24.00      0  21        1         0
#> 38    24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 44.2  24.00      0  56        0         0
#> 185   24.00      0  44        1         0
#> 138.2 24.00      0  44        1         0
#> 64.1  24.00      0  43        0         0
#> 9     24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 20.1  24.00      0  46        1         0
#> 138.3 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.11          NA        NA      NA
#> 2 age, Cure model           0.0219        NA        NA      NA
#> 3 grade_ii, Cure model      0.0546        NA        NA      NA
#> 4 grade_iii, Cure model     0.729         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00826        NA        NA      NA
#> 2 grade_ii, Survival model   1.06           NA        NA      NA
#> 3 grade_iii, Survival model  0.428          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.10874           0.02192           0.05460           0.72909  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 248.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.10874338       0.02191526       0.05460031       0.72909090 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008258835      1.062187192      0.428132087 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.449690701 0.335725028 0.212057929 0.136493103 0.839091066 0.449690701
#>   [7] 0.625017457 0.857766397 0.091903583 0.502183246 0.604703341 0.625017457
#>  [13] 0.523079804 0.584373086 0.170840720 0.885809294 0.523079804 0.848429517
#>  [19] 0.303265806 0.982944500 0.724423868 0.772944312 0.655050657 0.502183246
#>  [25] 0.032964575 0.876437508 0.272119119 0.008996401 0.059955067 0.801622776
#>  [31] 0.734425353 0.018088648 0.885809294 0.399350545 0.018088648 0.563668298
#>  [37] 0.655050657 0.604703341 0.801622776 0.080978641 0.159454891 0.002289102
#>  [43] 0.982944500 0.181706164 0.857766397 0.114828544 0.939403801 0.523079804
#>  [49] 0.368697719 0.734425353 0.956940463 0.324836469 0.346728415 0.399350545
#>  [55] 0.913037423 0.032964575 0.491598151 0.948220885 0.684585966 0.523079804
#>  [61] 0.714448996 0.820341325 0.584373086 0.574100198 0.272119119 0.346728415
#>  [67] 0.429351013 0.103157268 0.694559059 0.192054220 0.114828544 0.429351013
#>  [73] 0.399350545 0.379498609 0.136493103 0.956940463 0.674667129 0.791994288
#>  [79] 0.221918308 0.241766119 0.059955067 0.913037423 0.820341325 0.753883214
#>  [85] 0.221918308 0.913037423 0.885809294 0.314032046 0.032964575 0.772944312
#>  [91] 0.753883214 0.272119119 0.480991679 0.625017457 0.470476974 0.704508105
#>  [97] 0.379498609 0.241766119 0.241766119 0.202335349 0.956940463 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    30    88    68    66   107  30.1    39    10   113   181    26  39.1    85 
#> 17.43 18.37 20.62 22.13 11.18 17.43 15.59 10.53 22.86 16.46 15.77 15.59 16.44 
#>   188   139   145   192   159    76    25   155    42    18 181.1   168    61 
#> 16.16 21.49 10.07 16.44 10.55 19.22  6.32 13.08 12.43 15.21 16.46 23.72 10.12 
#>    58    78   164    49   140    86 145.1   184  86.1     5  18.1  26.1  49.1 
#> 19.34 23.88 23.60 12.19 12.68 23.81 10.07 17.77 23.81 16.43 15.21 15.77 12.19 
#>    69   197    24  25.1   153  10.1   194   183  85.1    41 140.1    77     8 
#> 23.23 21.60 23.89  6.32 21.33 10.53 22.40  9.24 16.44 18.02 12.68  7.27 18.43 
#>    51 184.1   187 168.1   171   149   133  85.2    81    43 188.1    79    55 
#> 18.23 17.77  9.92 23.72 16.57  8.37 14.65 16.44 14.06 12.10 16.16 16.23 19.34 
#>  51.1   110    15    96    99 194.1 110.1 184.2    40  66.1  77.1   180    56 
#> 18.23 17.56 22.68 14.54 21.19 22.40 17.56 17.77 18.00 22.13  7.27 14.82 12.21 
#>   150   166 164.1 187.1  43.1    37 150.1 187.2 145.2    97 168.2  42.1  37.1 
#> 20.33 19.98 23.60  9.92 12.10 12.52 20.33  9.92 10.07 19.14 23.72 12.43 12.52 
#>  58.1    23  39.2    45    57  40.1 166.1 166.2    32  77.2    53   102    17 
#> 19.34 16.92 15.59 17.42 14.46 18.00 19.98 19.98 20.90  7.27 24.00 24.00 24.00 
#>   193   122    75    21 193.1   138   151   191   174   119   148    34   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72    94   176 138.1    12   196 122.1 193.2  53.1     1  17.1    62   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64  17.2     7   152    28    74  53.2   198   103   112    48    71   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   178  17.3   137 122.2   132    20 196.1   147   109    47    35    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44  21.1   116   156 109.1  34.1   162 122.3    83   7.1 174.1  83.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1    87   118   142   141   104 132.1  75.1    38  44.1  44.2   185 138.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1     9 112.1  20.1 138.3 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[86]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01488969                0.38305121                0.21049700 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.42232942              0.01166874             -0.26531902 
#>   grade_iii, Cure model 
#>              0.51079906 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 164   23.60      1  76        0         1
#> 177   12.53      1  75        0         0
#> 101    9.97      1  10        0         1
#> 189   10.51      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 26    15.77      1  49        0         1
#> 49    12.19      1  48        1         0
#> 39    15.59      1  37        0         1
#> 101.1  9.97      1  10        0         1
#> 85    16.44      1  36        0         0
#> 66    22.13      1  53        0         0
#> 157   15.10      1  47        0         0
#> 56    12.21      1  60        0         0
#> 57    14.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 153   21.33      1  55        1         0
#> 188   16.16      1  46        0         1
#> 149    8.37      1  33        1         0
#> 81    14.06      1  34        0         0
#> 125   15.65      1  67        1         0
#> 16     8.71      1  71        0         1
#> 70     7.38      1  30        1         0
#> 117   17.46      1  26        0         1
#> 134.1 17.81      1  47        1         0
#> 8     18.43      1  32        0         0
#> 100   16.07      1  60        0         0
#> 32    20.90      1  37        1         0
#> 81.1  14.06      1  34        0         0
#> 85.1  16.44      1  36        0         0
#> 150   20.33      1  48        0         0
#> 49.1  12.19      1  48        1         0
#> 6     15.64      1  39        0         0
#> 24    23.89      1  38        0         0
#> 60    13.15      1  38        1         0
#> 32.1  20.90      1  37        1         0
#> 32.2  20.90      1  37        1         0
#> 36    21.19      1  48        0         1
#> 55    19.34      1  69        0         1
#> 133   14.65      1  57        0         0
#> 6.1   15.64      1  39        0         0
#> 101.2  9.97      1  10        0         1
#> 85.2  16.44      1  36        0         0
#> 127    3.53      1  62        0         1
#> 69    23.23      1  25        0         1
#> 16.1   8.71      1  71        0         1
#> 59    10.16      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 57.1  14.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 171   16.57      1  41        0         1
#> 91     5.33      1  61        0         1
#> 56.1  12.21      1  60        0         0
#> 29    15.45      1  68        1         0
#> 169   22.41      1  46        0         0
#> 99    21.19      1  38        0         1
#> 158   20.14      1  74        1         0
#> 164.1 23.60      1  76        0         1
#> 168   23.72      1  70        0         0
#> 97    19.14      1  65        0         1
#> 101.3  9.97      1  10        0         1
#> 43    12.10      1  61        0         1
#> 18    15.21      1  49        1         0
#> 6.2   15.64      1  39        0         0
#> 170   19.54      1  43        0         1
#> 180   14.82      1  37        0         0
#> 68    20.62      1  44        0         0
#> 113   22.86      1  34        0         0
#> 43.1  12.10      1  61        0         1
#> 88    18.37      1  47        0         0
#> 150.1 20.33      1  48        0         0
#> 57.2  14.46      1  45        0         1
#> 96    14.54      1  33        0         1
#> 166   19.98      1  48        0         0
#> 41    18.02      1  40        1         0
#> 6.3   15.64      1  39        0         0
#> 14    12.89      1  21        0         0
#> 189.1 10.51      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 90.1  20.94      1  50        0         1
#> 192   16.44      1  31        1         0
#> 77.1   7.27      1  67        0         1
#> 6.4   15.64      1  39        0         0
#> 149.1  8.37      1  33        1         0
#> 195   11.76      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 55.1  19.34      1  69        0         1
#> 175   21.91      1  43        0         0
#> 70.1   7.38      1  30        1         0
#> 175.1 21.91      1  43        0         0
#> 86    23.81      1  58        0         1
#> 114   13.68      1  NA        0         0
#> 157.1 15.10      1  47        0         0
#> 77.2   7.27      1  67        0         1
#> 164.2 23.60      1  76        0         1
#> 89    11.44      1  NA        0         0
#> 128   20.35      1  35        0         1
#> 181   16.46      1  45        0         1
#> 39.1  15.59      1  37        0         1
#> 108.1 18.29      1  39        0         1
#> 96.1  14.54      1  33        0         1
#> 108.2 18.29      1  39        0         1
#> 30    17.43      1  78        0         0
#> 124    9.73      1  NA        1         0
#> 105.1 19.75      1  60        0         0
#> 49.2  12.19      1  48        1         0
#> 4     17.64      1  NA        0         1
#> 96.2  14.54      1  33        0         1
#> 41.1  18.02      1  40        1         0
#> 155   13.08      1  26        0         0
#> 125.1 15.65      1  67        1         0
#> 14.1  12.89      1  21        0         0
#> 195.1 11.76      1  NA        1         0
#> 156   24.00      0  50        1         0
#> 1     24.00      0  23        1         0
#> 176   24.00      0  43        0         1
#> 102   24.00      0  49        0         0
#> 11    24.00      0  42        0         1
#> 22    24.00      0  52        1         0
#> 141   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 84    24.00      0  39        0         1
#> 38    24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 132   24.00      0  55        0         0
#> 9     24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 185.1 24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 119   24.00      0  17        0         0
#> 185.2 24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 95    24.00      0  68        0         1
#> 160   24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 132.1 24.00      0  55        0         0
#> 102.2 24.00      0  49        0         0
#> 116   24.00      0  58        0         1
#> 119.1 24.00      0  17        0         0
#> 196   24.00      0  19        0         0
#> 152   24.00      0  36        0         1
#> 80    24.00      0  41        0         0
#> 115.1 24.00      0  NA        1         0
#> 34.1  24.00      0  36        0         0
#> 71    24.00      0  51        0         0
#> 191.1 24.00      0  60        0         1
#> 3     24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 191.2 24.00      0  60        0         1
#> 31    24.00      0  36        0         1
#> 82.1  24.00      0  34        0         0
#> 165   24.00      0  47        0         0
#> 135   24.00      0  58        1         0
#> 9.1   24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 176.1 24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 144.1 24.00      0  28        0         1
#> 151   24.00      0  42        0         0
#> 47    24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 94    24.00      0  51        0         1
#> 22.1  24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 35.1  24.00      0  51        0         0
#> 115.2 24.00      0  NA        1         0
#> 162   24.00      0  51        0         0
#> 38.1  24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 47.1  24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 163   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 83.1  24.00      0   6        0         0
#> 48    24.00      0  31        1         0
#> 102.3 24.00      0  49        0         0
#> 80.1  24.00      0  41        0         0
#> 178   24.00      0  52        1         0
#> 102.4 24.00      0  49        0         0
#> 118   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 173   24.00      0  19        0         1
#> 20    24.00      0  46        1         0
#> 165.1 24.00      0  47        0         0
#> 73    24.00      0  NA        0         1
#> 182   24.00      0  35        0         0
#> 172.1 24.00      0  41        0         0
#> 162.1 24.00      0  51        0         0
#> 22.2  24.00      0  52        1         0
#> 28    24.00      0  67        1         0
#> 94.1  24.00      0  51        0         1
#> 74    24.00      0  43        0         1
#> 82.2  24.00      0  34        0         0
#> 148   24.00      0  61        1         0
#> 94.2  24.00      0  51        0         1
#> 116.1 24.00      0  58        0         1
#> 11.1  24.00      0  42        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.422         NA        NA      NA
#> 2 age, Cure model           0.0117        NA        NA      NA
#> 3 grade_ii, Cure model     -0.265         NA        NA      NA
#> 4 grade_iii, Cure model     0.511         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0149        NA        NA      NA
#> 2 grade_ii, Survival model    0.383         NA        NA      NA
#> 3 grade_iii, Survival model   0.210         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.42233           0.01167          -0.26532           0.51080  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 251.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.42232942       0.01166874      -0.26531902       0.51079906 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01488969       0.38305121       0.21049700 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.504198e-03 6.660346e-01 7.789674e-01 6.668205e-02 3.278994e-01
#>   [6] 7.077795e-01 4.142558e-01 7.789674e-01 2.688922e-01 1.653688e-02
#>  [11] 4.610999e-01 6.798217e-01 5.476102e-01 2.131991e-01 2.798117e-02
#>  [16] 3.072824e-01 8.649407e-01 5.859798e-01 3.384422e-01 8.355667e-01
#>  [21] 8.944176e-01 2.310751e-01 2.131991e-01 1.538519e-01 3.174920e-01
#>  [26] 5.166981e-02 5.859798e-01 2.688922e-01 8.381751e-02 7.077795e-01
#>  [31] 3.598013e-01 8.580187e-05 6.123090e-01 5.166981e-02 5.166981e-02
#>  [36] 3.245078e-02 1.305432e-01 4.976527e-01 3.598013e-01 7.789674e-01
#>  [41] 2.688922e-01 9.844749e-01 7.817794e-03 8.355667e-01 1.091764e-01
#>  [46] 5.476102e-01 4.159924e-02 2.496756e-01 9.690736e-01 6.798217e-01
#>  [51] 4.373276e-01 1.330125e-02 3.245078e-02 9.596479e-02 2.504198e-03
#>  [56] 1.251066e-03 1.457886e-01 7.789674e-01 7.499989e-01 4.491677e-01
#>  [61] 3.598013e-01 1.231797e-01 4.852773e-01 7.221432e-02 1.041530e-02
#>  [66] 7.499989e-01 1.620787e-01 8.381751e-02 5.476102e-01 5.102067e-01
#>  [71] 1.024619e-01 1.957214e-01 3.598013e-01 6.391166e-01 9.239546e-01
#>  [76] 4.159924e-02 2.688922e-01 9.239546e-01 3.598013e-01 8.649407e-01
#>  [81] 1.705212e-01 1.305432e-01 2.016063e-02 8.944176e-01 2.016063e-02
#>  [86] 4.991521e-04 4.610999e-01 9.239546e-01 2.504198e-03 7.795821e-02
#>  [91] 2.592183e-01 4.142558e-01 1.705212e-01 5.102067e-01 1.705212e-01
#>  [96] 2.402517e-01 1.091764e-01 7.077795e-01 5.102067e-01 1.957214e-01
#> [101] 6.256667e-01 3.384422e-01 6.391166e-01 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   164   177   101   190    26    49    39 101.1    85    66   157    56    57 
#> 23.60 12.53  9.97 20.81 15.77 12.19 15.59  9.97 16.44 22.13 15.10 12.21 14.46 
#>   134   153   188   149    81   125    16    70   117 134.1     8   100    32 
#> 17.81 21.33 16.16  8.37 14.06 15.65  8.71  7.38 17.46 17.81 18.43 16.07 20.90 
#>  81.1  85.1   150  49.1     6    24    60  32.1  32.2    36    55   133   6.1 
#> 14.06 16.44 20.33 12.19 15.64 23.89 13.15 20.90 20.90 21.19 19.34 14.65 15.64 
#> 101.2  85.2   127    69  16.1   105  57.1    90   171    91  56.1    29   169 
#>  9.97 16.44  3.53 23.23  8.71 19.75 14.46 20.94 16.57  5.33 12.21 15.45 22.41 
#>    99   158 164.1   168    97 101.3    43    18   6.2   170   180    68   113 
#> 21.19 20.14 23.60 23.72 19.14  9.97 12.10 15.21 15.64 19.54 14.82 20.62 22.86 
#>  43.1    88 150.1  57.2    96   166    41   6.3    14    77  90.1   192  77.1 
#> 12.10 18.37 20.33 14.46 14.54 19.98 18.02 15.64 12.89  7.27 20.94 16.44  7.27 
#>   6.4 149.1   108  55.1   175  70.1 175.1    86 157.1  77.2 164.2   128   181 
#> 15.64  8.37 18.29 19.34 21.91  7.38 21.91 23.81 15.10  7.27 23.60 20.35 16.46 
#>  39.1 108.1  96.1 108.2    30 105.1  49.2  96.2  41.1   155 125.1  14.1   156 
#> 15.59 18.29 14.54 18.29 17.43 19.75 12.19 14.54 18.02 13.08 15.65 12.89 24.00 
#>     1   176   102    11    22   141   146   185    82    84    38 102.1   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9 185.1    34   119 185.2   144    95   160   191 132.1 102.2   116 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   152    80  34.1    71 191.1     3    72 191.2    31  82.1   165   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1    35   103 176.1    27 144.1   151    47    83    94  22.1   109  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162  38.1   121  47.1   143   200   163   172  83.1    48 102.3  80.1   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.4   118    75   173    20 165.1   182 172.1 162.1  22.2    28  94.1    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.2   148  94.2 116.1  11.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[87]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007012315               0.329947770               0.407643668 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.63057789              0.01972505             -0.53181502 
#>   grade_iii, Cure model 
#>              0.30320209 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 127    3.53      1  62        0         1
#> 76    19.22      1  54        0         1
#> 128   20.35      1  35        0         1
#> 23    16.92      1  61        0         0
#> 150   20.33      1  48        0         0
#> 79    16.23      1  54        1         0
#> 136   21.83      1  43        0         1
#> 60    13.15      1  38        1         0
#> 66    22.13      1  53        0         0
#> 171   16.57      1  41        0         1
#> 23.1  16.92      1  61        0         0
#> 177   12.53      1  75        0         0
#> 13    14.34      1  54        0         1
#> 139   21.49      1  63        1         0
#> 111   17.45      1  47        0         1
#> 139.1 21.49      1  63        1         0
#> 66.1  22.13      1  53        0         0
#> 168   23.72      1  70        0         0
#> 96    14.54      1  33        0         1
#> 55    19.34      1  69        0         1
#> 8     18.43      1  32        0         0
#> 184   17.77      1  38        0         0
#> 79.1  16.23      1  54        1         0
#> 81    14.06      1  34        0         0
#> 171.1 16.57      1  41        0         1
#> 159   10.55      1  50        0         1
#> 26    15.77      1  49        0         1
#> 97    19.14      1  65        0         1
#> 63    22.77      1  31        1         0
#> 187    9.92      1  39        1         0
#> 100   16.07      1  60        0         0
#> 6     15.64      1  39        0         0
#> 168.1 23.72      1  70        0         0
#> 66.2  22.13      1  53        0         0
#> 70     7.38      1  30        1         0
#> 52    10.42      1  52        0         1
#> 157   15.10      1  47        0         0
#> 188   16.16      1  46        0         1
#> 41    18.02      1  40        1         0
#> 181   16.46      1  45        0         1
#> 169   22.41      1  46        0         0
#> 170   19.54      1  43        0         1
#> 52.1  10.42      1  52        0         1
#> 60.1  13.15      1  38        1         0
#> 168.2 23.72      1  70        0         0
#> 52.2  10.42      1  52        0         1
#> 134   17.81      1  47        1         0
#> 42    12.43      1  49        0         1
#> 91     5.33      1  61        0         1
#> 168.3 23.72      1  70        0         0
#> 149    8.37      1  33        1         0
#> 30    17.43      1  78        0         0
#> 56    12.21      1  60        0         0
#> 154   12.63      1  20        1         0
#> 89    11.44      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 180   14.82      1  37        0         0
#> 111.1 17.45      1  47        0         1
#> 70.1   7.38      1  30        1         0
#> 69    23.23      1  25        0         1
#> 159.1 10.55      1  50        0         1
#> 23.2  16.92      1  61        0         0
#> 40    18.00      1  28        1         0
#> 140   12.68      1  59        1         0
#> 59    10.16      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 56.1  12.21      1  60        0         0
#> 61    10.12      1  36        0         1
#> 16     8.71      1  71        0         1
#> 42.1  12.43      1  49        0         1
#> 86    23.81      1  58        0         1
#> 81.1  14.06      1  34        0         0
#> 23.3  16.92      1  61        0         0
#> 45    17.42      1  54        0         1
#> 123   13.00      1  44        1         0
#> 30.1  17.43      1  78        0         0
#> 100.1 16.07      1  60        0         0
#> 123.1 13.00      1  44        1         0
#> 55.1  19.34      1  69        0         1
#> 32    20.90      1  37        1         0
#> 179   18.63      1  42        0         0
#> 155   13.08      1  26        0         0
#> 68    20.62      1  44        0         0
#> 6.1   15.64      1  39        0         0
#> 197   21.60      1  69        1         0
#> 197.1 21.60      1  69        1         0
#> 108   18.29      1  39        0         1
#> 136.1 21.83      1  43        0         1
#> 68.1  20.62      1  44        0         0
#> 129   23.41      1  53        1         0
#> 14    12.89      1  21        0         0
#> 56.2  12.21      1  60        0         0
#> 179.1 18.63      1  42        0         0
#> 107   11.18      1  54        1         0
#> 108.1 18.29      1  39        0         1
#> 97.1  19.14      1  65        0         1
#> 61.1  10.12      1  36        0         1
#> 153   21.33      1  55        1         0
#> 99    21.19      1  38        0         1
#> 110   17.56      1  65        0         1
#> 10    10.53      1  34        0         0
#> 100.2 16.07      1  60        0         0
#> 77     7.27      1  67        0         1
#> 153.1 21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 134.1 17.81      1  47        1         0
#> 91.1   5.33      1  61        0         1
#> 113.1 22.86      1  34        0         0
#> 130   16.47      1  53        0         1
#> 180.1 14.82      1  37        0         0
#> 165   24.00      0  47        0         0
#> 35    24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 3     24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 22    24.00      0  52        1         0
#> 48    24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 31    24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 62    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 160   24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 198.1 24.00      0  66        0         1
#> 31.1  24.00      0  36        0         1
#> 2     24.00      0   9        0         0
#> 151   24.00      0  42        0         0
#> 112   24.00      0  61        0         0
#> 151.1 24.00      0  42        0         0
#> 120   24.00      0  68        0         1
#> 98    24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 35.1  24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 104   24.00      0  50        1         0
#> 185   24.00      0  44        1         0
#> 120.1 24.00      0  68        0         1
#> 118   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 20    24.00      0  46        1         0
#> 102   24.00      0  49        0         0
#> 143   24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 119.1 24.00      0  17        0         0
#> 1     24.00      0  23        1         0
#> 196   24.00      0  19        0         0
#> 38    24.00      0  31        1         0
#> 151.2 24.00      0  42        0         0
#> 65.1  24.00      0  57        1         0
#> 7     24.00      0  37        1         0
#> 118.1 24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 22.1  24.00      0  52        1         0
#> 137   24.00      0  45        1         0
#> 122   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 118.2 24.00      0  44        1         0
#> 160.1 24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 196.1 24.00      0  19        0         0
#> 11.1  24.00      0  42        0         1
#> 74    24.00      0  43        0         1
#> 82    24.00      0  34        0         0
#> 115.1 24.00      0  NA        1         0
#> 131   24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 121   24.00      0  57        1         0
#> 75    24.00      0  21        1         0
#> 198.2 24.00      0  66        0         1
#> 84    24.00      0  39        0         1
#> 193   24.00      0  45        0         1
#> 193.1 24.00      0  45        0         1
#> 33    24.00      0  53        0         0
#> 35.2  24.00      0  51        0         0
#> 31.2  24.00      0  36        0         1
#> 102.1 24.00      0  49        0         0
#> 75.1  24.00      0  21        1         0
#> 143.1 24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 74.1  24.00      0  43        0         1
#> 53    24.00      0  32        0         1
#> 174.1 24.00      0  49        1         0
#> 11.2  24.00      0  42        0         1
#> 104.1 24.00      0  50        1         0
#> 48.1  24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 54.1  24.00      0  53        1         0
#> 193.2 24.00      0  45        0         1
#> 146   24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 148   24.00      0  61        1         0
#> 22.2  24.00      0  52        1         0
#> 122.1 24.00      0  66        0         0
#> 163   24.00      0  66        0         0
#> 146.1 24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.631         NA        NA      NA
#> 2 age, Cure model           0.0197        NA        NA      NA
#> 3 grade_ii, Cure model     -0.532         NA        NA      NA
#> 4 grade_iii, Cure model     0.303         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00701        NA        NA      NA
#> 2 grade_ii, Survival model   0.330          NA        NA      NA
#> 3 grade_iii, Survival model  0.408          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.63058           0.01973          -0.53182           0.30320  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.4 
#> Residual Deviance: 257.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.63057789       0.01972505      -0.53181502       0.30320209 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007012315      0.329947770      0.407643668 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.989934141 0.272702231 0.227308526 0.447708435 0.236376438 0.523589209
#>   [7] 0.121949861 0.679602878 0.096948174 0.485289776 0.447708435 0.759112609
#>  [13] 0.649883681 0.156316168 0.401325005 0.156316168 0.096948174 0.015259177
#>  [19] 0.639964959 0.254675246 0.318291736 0.382742681 0.523589209 0.659797958
#>  [25] 0.485289776 0.829194695 0.581076484 0.281860797 0.071689116 0.909588427
#>  [31] 0.552257944 0.590835150 0.015259177 0.096948174 0.939848135 0.859473195
#>  [37] 0.610344270 0.542654948 0.345985111 0.513984764 0.079986355 0.245544903
#>  [43] 0.859473195 0.679602878 0.015259177 0.859473195 0.364498299 0.769138378
#>  [49] 0.969910196 0.015259177 0.929765938 0.419634435 0.789025194 0.749140707
#>  [55] 0.002348807 0.620222741 0.401325005 0.939848135 0.047814789 0.829194695
#>  [61] 0.447708435 0.355258935 0.739141002 0.088528498 0.789025194 0.889519409
#>  [67] 0.919672408 0.769138378 0.008664667 0.659797958 0.447708435 0.438286807
#>  [73] 0.709348209 0.419634435 0.552257944 0.709348209 0.254675246 0.200470802
#>  [79] 0.299935041 0.699370089 0.209411378 0.590835150 0.138980339 0.138980339
#>  [85] 0.327661508 0.121949861 0.209411378 0.039412450 0.729152159 0.789025194
#>  [91] 0.299935041 0.819054182 0.327661508 0.281860797 0.889519409 0.173859658
#>  [97] 0.191501081 0.392028662 0.849323019 0.552257944 0.959850172 0.173859658
#> [103] 0.055852181 0.364498299 0.969910196 0.055852181 0.504362981 0.620222741
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>   127    76   128    23   150    79   136    60    66   171  23.1   177    13 
#>  3.53 19.22 20.35 16.92 20.33 16.23 21.83 13.15 22.13 16.57 16.92 12.53 14.34 
#>   139   111 139.1  66.1   168    96    55     8   184  79.1    81 171.1   159 
#> 21.49 17.45 21.49 22.13 23.72 14.54 19.34 18.43 17.77 16.23 14.06 16.57 10.55 
#>    26    97    63   187   100     6 168.1  66.2    70    52   157   188    41 
#> 15.77 19.14 22.77  9.92 16.07 15.64 23.72 22.13  7.38 10.42 15.10 16.16 18.02 
#>   181   169   170  52.1  60.1 168.2  52.2   134    42    91 168.3   149    30 
#> 16.46 22.41 19.54 10.42 13.15 23.72 10.42 17.81 12.43  5.33 23.72  8.37 17.43 
#>    56   154    24   180 111.1  70.1    69 159.1  23.2    40   140   194  56.1 
#> 12.21 12.63 23.89 14.82 17.45  7.38 23.23 10.55 16.92 18.00 12.68 22.40 12.21 
#>    61    16  42.1    86  81.1  23.3    45   123  30.1 100.1 123.1  55.1    32 
#> 10.12  8.71 12.43 23.81 14.06 16.92 17.42 13.00 17.43 16.07 13.00 19.34 20.90 
#>   179   155    68   6.1   197 197.1   108 136.1  68.1   129    14  56.2 179.1 
#> 18.63 13.08 20.62 15.64 21.60 21.60 18.29 21.83 20.62 23.41 12.89 12.21 18.63 
#>   107 108.1  97.1  61.1   153    99   110    10 100.2    77 153.1   113 134.1 
#> 11.18 18.29 19.14 10.12 21.33 21.19 17.56 10.53 16.07  7.27 21.33 22.86 17.81 
#>  91.1 113.1   130 180.1   165    35    11     3   172    54    22    48   198 
#>  5.33 22.86 16.47 14.82 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31    65   119    62   160   132 198.1  31.1     2   151   112 151.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98   174  35.1   182   104   185 120.1   118    21    20   102   143   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1     1   196    38 151.2  65.1     7 118.1    47  22.1   137   122   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.2 160.1 172.1 196.1  11.1    74    82   131    72   121    75 198.2    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193 193.1    33  35.2  31.2 102.1  75.1 143.1   103  74.1    53 174.1  11.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1  48.1   173  54.1 193.2   146   116   148  22.2 122.1   163 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[88]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01502579                0.72640077                0.55584827 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.199726032             0.001568373             0.126086003 
#>   grade_iii, Cure model 
#>             0.882520529 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 184   17.77      1  38        0         0
#> 66    22.13      1  53        0         0
#> 128   20.35      1  35        0         1
#> 52    10.42      1  52        0         1
#> 26    15.77      1  49        0         1
#> 194   22.40      1  38        0         1
#> 90    20.94      1  50        0         1
#> 123   13.00      1  44        1         0
#> 105   19.75      1  60        0         0
#> 16     8.71      1  71        0         1
#> 6     15.64      1  39        0         0
#> 99    21.19      1  38        0         1
#> 86    23.81      1  58        0         1
#> 188   16.16      1  46        0         1
#> 124    9.73      1  NA        1         0
#> 52.1  10.42      1  52        0         1
#> 136   21.83      1  43        0         1
#> 179   18.63      1  42        0         0
#> 30    17.43      1  78        0         0
#> 129   23.41      1  53        1         0
#> 150   20.33      1  48        0         0
#> 175   21.91      1  43        0         0
#> 41    18.02      1  40        1         0
#> 153   21.33      1  55        1         0
#> 169   22.41      1  46        0         0
#> 183    9.24      1  67        1         0
#> 50    10.02      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 170   19.54      1  43        0         1
#> 111   17.45      1  47        0         1
#> 77     7.27      1  67        0         1
#> 68    20.62      1  44        0         0
#> 179.1 18.63      1  42        0         0
#> 14    12.89      1  21        0         0
#> 187    9.92      1  39        1         0
#> 197.1 21.60      1  69        1         0
#> 37    12.52      1  57        1         0
#> 96    14.54      1  33        0         1
#> 4     17.64      1  NA        0         1
#> 42    12.43      1  49        0         1
#> 179.2 18.63      1  42        0         0
#> 5     16.43      1  51        0         1
#> 78    23.88      1  43        0         0
#> 50.1  10.02      1  NA        1         0
#> 41.1  18.02      1  40        1         0
#> 125   15.65      1  67        1         0
#> 36    21.19      1  48        0         1
#> 70     7.38      1  30        1         0
#> 66.1  22.13      1  53        0         0
#> 125.1 15.65      1  67        1         0
#> 14.1  12.89      1  21        0         0
#> 130   16.47      1  53        0         1
#> 153.1 21.33      1  55        1         0
#> 170.1 19.54      1  43        0         1
#> 155   13.08      1  26        0         0
#> 192   16.44      1  31        1         0
#> 100   16.07      1  60        0         0
#> 77.1   7.27      1  67        0         1
#> 24    23.89      1  38        0         0
#> 139   21.49      1  63        1         0
#> 154   12.63      1  20        1         0
#> 97    19.14      1  65        0         1
#> 8     18.43      1  32        0         0
#> 154.1 12.63      1  20        1         0
#> 187.1  9.92      1  39        1         0
#> 52.2  10.42      1  52        0         1
#> 167   15.55      1  56        1         0
#> 78.1  23.88      1  43        0         0
#> 164   23.60      1  76        0         1
#> 108   18.29      1  39        0         1
#> 8.1   18.43      1  32        0         0
#> 197.2 21.60      1  69        1         0
#> 123.1 13.00      1  44        1         0
#> 41.2  18.02      1  40        1         0
#> 40    18.00      1  28        1         0
#> 40.1  18.00      1  28        1         0
#> 50.2  10.02      1  NA        1         0
#> 123.2 13.00      1  44        1         0
#> 171   16.57      1  41        0         1
#> 166   19.98      1  48        0         0
#> 45    17.42      1  54        0         1
#> 77.2   7.27      1  67        0         1
#> 55    19.34      1  69        0         1
#> 158   20.14      1  74        1         0
#> 81    14.06      1  34        0         0
#> 197.3 21.60      1  69        1         0
#> 26.1  15.77      1  49        0         1
#> 117   17.46      1  26        0         1
#> 8.2   18.43      1  32        0         0
#> 86.1  23.81      1  58        0         1
#> 157   15.10      1  47        0         0
#> 106   16.67      1  49        1         0
#> 16.1   8.71      1  71        0         1
#> 78.2  23.88      1  43        0         0
#> 60    13.15      1  38        1         0
#> 68.1  20.62      1  44        0         0
#> 26.2  15.77      1  49        0         1
#> 159   10.55      1  50        0         1
#> 108.1 18.29      1  39        0         1
#> 40.2  18.00      1  28        1         0
#> 55.1  19.34      1  69        0         1
#> 76    19.22      1  54        0         1
#> 92    22.92      1  47        0         1
#> 52.3  10.42      1  52        0         1
#> 184.1 17.77      1  38        0         0
#> 97.1  19.14      1  65        0         1
#> 129.1 23.41      1  53        1         0
#> 194.1 22.40      1  38        0         1
#> 195   11.76      1  NA        1         0
#> 99.1  21.19      1  38        0         1
#> 90.1  20.94      1  50        0         1
#> 16.2   8.71      1  71        0         1
#> 72    24.00      0  40        0         1
#> 163   24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 138   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 71    24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 135   24.00      0  58        1         0
#> 20    24.00      0  46        1         0
#> 21    24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 144   24.00      0  28        0         1
#> 151   24.00      0  42        0         0
#> 141   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 64    24.00      0  43        0         0
#> 102.1 24.00      0  49        0         0
#> 9     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 67    24.00      0  25        0         0
#> 191   24.00      0  60        0         1
#> 165   24.00      0  47        0         0
#> 144.1 24.00      0  28        0         1
#> 161   24.00      0  45        0         0
#> 95    24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 27    24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 95.1  24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 165.1 24.00      0  47        0         0
#> 142.1 24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 119   24.00      0  17        0         0
#> 132   24.00      0  55        0         0
#> 38    24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 3     24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 178.1 24.00      0  52        1         0
#> 116   24.00      0  58        0         1
#> 73.1  24.00      0  NA        0         1
#> 38.1  24.00      0  31        1         0
#> 121.1 24.00      0  57        1         0
#> 35.1  24.00      0  51        0         0
#> 38.2  24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 20.1  24.00      0  46        1         0
#> 80    24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 120   24.00      0  68        0         1
#> 119.1 24.00      0  17        0         0
#> 120.1 24.00      0  68        0         1
#> 87    24.00      0  27        0         0
#> 162   24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 104   24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 116.1 24.00      0  58        0         1
#> 186.1 24.00      0  45        1         0
#> 116.2 24.00      0  58        0         1
#> 65    24.00      0  57        1         0
#> 186.2 24.00      0  45        1         0
#> 144.2 24.00      0  28        0         1
#> 65.1  24.00      0  57        1         0
#> 46    24.00      0  71        0         0
#> 137.1 24.00      0  45        1         0
#> 54    24.00      0  53        1         0
#> 141.1 24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 64.1  24.00      0  43        0         0
#> 19    24.00      0  57        0         1
#> 7     24.00      0  37        1         0
#> 62    24.00      0  71        0         0
#> 126   24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 72.1  24.00      0  40        0         1
#> 135.1 24.00      0  58        1         0
#> 72.2  24.00      0  40        0         1
#> 19.1  24.00      0  57        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.200          NA        NA      NA
#> 2 age, Cure model          0.00157        NA        NA      NA
#> 3 grade_ii, Cure model     0.126          NA        NA      NA
#> 4 grade_iii, Cure model    0.883          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0150        NA        NA      NA
#> 2 grade_ii, Survival model    0.726         NA        NA      NA
#> 3 grade_iii, Survival model   0.556         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.199726          0.001568          0.126086          0.882521  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 257 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.199726032      0.001568373      0.126086003      0.882520529 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01502579       0.72640077       0.55584827 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4570758166 0.0632723529 0.2013833725 0.8408344782 0.5954983178
#>   [6] 0.0510860281 0.1681787199 0.7286394296 0.2369909949 0.9195933819
#>  [11] 0.6498041521 0.1448073758 0.0124681418 0.5738417086 0.8408344782
#>  [16] 0.0843836056 0.3131431252 0.4988363577 0.0276659409 0.2100406293
#>  [21] 0.0769042952 0.3958180892 0.1289400129 0.0446111261 0.9081932153
#>  [26] 0.0919209790 0.2463508780 0.4883355225 0.9653983026 0.1844194570
#>  [31] 0.3131431252 0.7620788551 0.8856048643 0.0919209790 0.8070170228
#>  [36] 0.6833971393 0.8182633708 0.3131431252 0.5630985014 0.0030632633
#>  [41] 0.3958180892 0.6278564006 0.1448073758 0.9538755535 0.0632723529
#>  [46] 0.6278564006 0.7620788551 0.5416275144 0.1289400129 0.2463508780
#>  [51] 0.7172823441 0.5523940603 0.5846104403 0.9653983026 0.0005217745
#>  [56] 0.1208451644 0.7847186908 0.2935586468 0.3433624739 0.7847186908
#>  [61] 0.8856048643 0.8408344782 0.6609565305 0.0030632633 0.0217447803
#>  [66] 0.3746335376 0.3433624739 0.0919209790 0.7286394296 0.3958180892
#>  [71] 0.4268391626 0.4268391626 0.7286394296 0.5309065332 0.2278456988
#>  [76] 0.5094920262 0.9653983026 0.2648345303 0.2188852350 0.6946534074
#>  [81] 0.0919209790 0.5954983178 0.4778661235 0.3433624739 0.0124681418
#>  [86] 0.6721293999 0.5201981944 0.9195933819 0.0030632633 0.7059831189
#>  [91] 0.1844194570 0.5954983178 0.8295352951 0.3746335376 0.4268391626
#>  [96] 0.2648345303 0.2838245423 0.0385741878 0.8408344782 0.4570758166
#> [101] 0.2935586468 0.0276659409 0.0510860281 0.1448073758 0.1681787199
#> [106] 0.9195933819 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000
#> 
#> $Time
#>   184    66   128    52    26   194    90   123   105    16     6    99    86 
#> 17.77 22.13 20.35 10.42 15.77 22.40 20.94 13.00 19.75  8.71 15.64 21.19 23.81 
#>   188  52.1   136   179    30   129   150   175    41   153   169   183   197 
#> 16.16 10.42 21.83 18.63 17.43 23.41 20.33 21.91 18.02 21.33 22.41  9.24 21.60 
#>   170   111    77    68 179.1    14   187 197.1    37    96    42 179.2     5 
#> 19.54 17.45  7.27 20.62 18.63 12.89  9.92 21.60 12.52 14.54 12.43 18.63 16.43 
#>    78  41.1   125    36    70  66.1 125.1  14.1   130 153.1 170.1   155   192 
#> 23.88 18.02 15.65 21.19  7.38 22.13 15.65 12.89 16.47 21.33 19.54 13.08 16.44 
#>   100  77.1    24   139   154    97     8 154.1 187.1  52.2   167  78.1   164 
#> 16.07  7.27 23.89 21.49 12.63 19.14 18.43 12.63  9.92 10.42 15.55 23.88 23.60 
#>   108   8.1 197.2 123.1  41.2    40  40.1 123.2   171   166    45  77.2    55 
#> 18.29 18.43 21.60 13.00 18.02 18.00 18.00 13.00 16.57 19.98 17.42  7.27 19.34 
#>   158    81 197.3  26.1   117   8.2  86.1   157   106  16.1  78.2    60  68.1 
#> 20.14 14.06 21.60 15.77 17.46 18.43 23.81 15.10 16.67  8.71 23.88 13.15 20.62 
#>  26.2   159 108.1  40.2  55.1    76    92  52.3 184.1  97.1 129.1 194.1  99.1 
#> 15.77 10.55 18.29 18.00 19.34 19.22 22.92 10.42 17.77 19.14 23.41 22.40 21.19 
#>  90.1  16.2    72   163    17    44   138   121    35    48  44.1    71   102 
#> 20.94  8.71 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135    20    21   131   142    53   144   151   141   196    64 102.1     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   191   165 144.1   161    95   193    27     1  95.1   176 165.1 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   119   132    38    47     3   178 178.1   116  38.1 121.1  35.1  38.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137  20.1    80   112   120 119.1 120.1    87   162   182   104   186 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1 116.2    65 186.2 144.2  65.1    46 137.1    54 141.1   143    33    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1    19     7    62   126   156  72.1 135.1  72.2  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[89]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00952719                0.54260833                0.47810795 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.363463703            -0.004658765            -0.584025181 
#>   grade_iii, Cure model 
#>             0.626463125 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 159   10.55      1  50        0         1
#> 133   14.65      1  57        0         0
#> 111   17.45      1  47        0         1
#> 184   17.77      1  38        0         0
#> 175   21.91      1  43        0         0
#> 16     8.71      1  71        0         1
#> 39    15.59      1  37        0         1
#> 14    12.89      1  21        0         0
#> 175.1 21.91      1  43        0         0
#> 197   21.60      1  69        1         0
#> 171   16.57      1  41        0         1
#> 195   11.76      1  NA        1         0
#> 171.1 16.57      1  41        0         1
#> 197.1 21.60      1  69        1         0
#> 175.2 21.91      1  43        0         0
#> 63    22.77      1  31        1         0
#> 181   16.46      1  45        0         1
#> 66    22.13      1  53        0         0
#> 23    16.92      1  61        0         0
#> 101    9.97      1  10        0         1
#> 101.1  9.97      1  10        0         1
#> 24    23.89      1  38        0         0
#> 81    14.06      1  34        0         0
#> 123   13.00      1  44        1         0
#> 88    18.37      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 41    18.02      1  40        1         0
#> 111.1 17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 130   16.47      1  53        0         1
#> 85    16.44      1  36        0         0
#> 134   17.81      1  47        1         0
#> 105   19.75      1  60        0         0
#> 61    10.12      1  36        0         1
#> 85.1  16.44      1  36        0         0
#> 61.1  10.12      1  36        0         1
#> 39.1  15.59      1  37        0         1
#> 39.2  15.59      1  37        0         1
#> 52    10.42      1  52        0         1
#> 155   13.08      1  26        0         0
#> 170   19.54      1  43        0         1
#> 117   17.46      1  26        0         1
#> 111.2 17.45      1  47        0         1
#> 106   16.67      1  49        1         0
#> 180   14.82      1  37        0         0
#> 4     17.64      1  NA        0         1
#> 23.1  16.92      1  61        0         0
#> 23.2  16.92      1  61        0         0
#> 149    8.37      1  33        1         0
#> 123.1 13.00      1  44        1         0
#> 59    10.16      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 170.1 19.54      1  43        0         1
#> 154   12.63      1  20        1         0
#> 159.1 10.55      1  50        0         1
#> 128   20.35      1  35        0         1
#> 166   19.98      1  48        0         0
#> 6     15.64      1  39        0         0
#> 5     16.43      1  51        0         1
#> 168   23.72      1  70        0         0
#> 55    19.34      1  69        0         1
#> 166.1 19.98      1  48        0         0
#> 60    13.15      1  38        1         0
#> 175.3 21.91      1  43        0         0
#> 97    19.14      1  65        0         1
#> 52.1  10.42      1  52        0         1
#> 63.1  22.77      1  31        1         0
#> 96    14.54      1  33        0         1
#> 76    19.22      1  54        0         1
#> 99    21.19      1  38        0         1
#> 6.1   15.64      1  39        0         0
#> 184.1 17.77      1  38        0         0
#> 100   16.07      1  60        0         0
#> 108.1 18.29      1  39        0         1
#> 26    15.77      1  49        0         1
#> 150   20.33      1  48        0         0
#> 155.1 13.08      1  26        0         0
#> 85.2  16.44      1  36        0         0
#> 39.3  15.59      1  37        0         1
#> 51.1  18.23      1  83        0         1
#> 107   11.18      1  54        1         0
#> 59.1  10.16      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 30    17.43      1  78        0         0
#> 50    10.02      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 90    20.94      1  50        0         1
#> 140   12.68      1  59        1         0
#> 164   23.60      1  76        0         1
#> 58    19.34      1  39        0         0
#> 171.2 16.57      1  41        0         1
#> 111.3 17.45      1  47        0         1
#> 149.1  8.37      1  33        1         0
#> 175.4 21.91      1  43        0         0
#> 90.1  20.94      1  50        0         1
#> 37    12.52      1  57        1         0
#> 69    23.23      1  25        0         1
#> 43    12.10      1  61        0         1
#> 8     18.43      1  32        0         0
#> 195.1 11.76      1  NA        1         0
#> 51.2  18.23      1  83        0         1
#> 4.1   17.64      1  NA        0         1
#> 16.1   8.71      1  71        0         1
#> 86    23.81      1  58        0         1
#> 158   20.14      1  74        1         0
#> 18    15.21      1  49        1         0
#> 66.1  22.13      1  53        0         0
#> 30.1  17.43      1  78        0         0
#> 179   18.63      1  42        0         0
#> 40    18.00      1  28        1         0
#> 179.1 18.63      1  42        0         0
#> 62    24.00      0  71        0         0
#> 102   24.00      0  49        0         0
#> 191   24.00      0  60        0         1
#> 82    24.00      0  34        0         0
#> 54    24.00      0  53        1         0
#> 198   24.00      0  66        0         1
#> 191.1 24.00      0  60        0         1
#> 178   24.00      0  52        1         0
#> 9     24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 75.1  24.00      0  21        1         0
#> 147   24.00      0  76        1         0
#> 94    24.00      0  51        0         1
#> 3     24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 141.1 24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 156   24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 82.1  24.00      0  34        0         0
#> 137   24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 62.1  24.00      0  71        0         0
#> 67    24.00      0  25        0         0
#> 94.1  24.00      0  51        0         1
#> 48    24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 47    24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 162   24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 21    24.00      0  47        0         0
#> 193   24.00      0  45        0         1
#> 1     24.00      0  23        1         0
#> 21.1  24.00      0  47        0         0
#> 162.1 24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 182   24.00      0  35        0         0
#> 151.2 24.00      0  42        0         0
#> 176   24.00      0  43        0         1
#> 75.2  24.00      0  21        1         0
#> 112   24.00      0  61        0         0
#> 191.2 24.00      0  60        0         1
#> 7.1   24.00      0  37        1         0
#> 62.2  24.00      0  71        0         0
#> 1.1   24.00      0  23        1         0
#> 62.3  24.00      0  71        0         0
#> 75.3  24.00      0  21        1         0
#> 131   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 174   24.00      0  49        1         0
#> 87    24.00      0  27        0         0
#> 19.1  24.00      0  57        0         1
#> 151.3 24.00      0  42        0         0
#> 163   24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 161   24.00      0  45        0         0
#> 174.1 24.00      0  49        1         0
#> 47.1  24.00      0  38        0         1
#> 132   24.00      0  55        0         0
#> 33    24.00      0  53        0         0
#> 141.2 24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 104   24.00      0  50        1         0
#> 182.1 24.00      0  35        0         0
#> 156.1 24.00      0  50        1         0
#> 191.3 24.00      0  60        0         1
#> 80    24.00      0  41        0         0
#> 162.2 24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 1.2   24.00      0  23        1         0
#> 121   24.00      0  57        1         0
#> 9.1   24.00      0  31        1         0
#> 131.1 24.00      0  66        0         0
#> 21.2  24.00      0  47        0         0
#> 31.1  24.00      0  36        0         1
#> 73    24.00      0  NA        0         1
#> 137.1 24.00      0  45        1         0
#> 198.1 24.00      0  66        0         1
#> 132.1 24.00      0  55        0         0
#> 84    24.00      0  39        0         1
#> 115   24.00      0  NA        1         0
#> 84.1  24.00      0  39        0         1
#> 135   24.00      0  58        1         0
#> 144   24.00      0  28        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.363          NA        NA      NA
#> 2 age, Cure model         -0.00466        NA        NA      NA
#> 3 grade_ii, Cure model    -0.584          NA        NA      NA
#> 4 grade_iii, Cure model    0.626          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00953        NA        NA      NA
#> 2 grade_ii, Survival model   0.543          NA        NA      NA
#> 3 grade_iii, Survival model  0.478          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.363464         -0.004659         -0.584025          0.626463  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 251.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.363463703     -0.004658765     -0.584025181      0.626463125 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00952719       0.54260833       0.47810795 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.873656354 0.724372288 0.406252029 0.376433221 0.070963199 0.958116314
#>   [7] 0.651262981 0.809586858 0.070963199 0.107860987 0.505780942 0.505780942
#>  [13] 0.107860987 0.070963199 0.042971053 0.546592518 0.056273330 0.464699612
#>  [19] 0.937199555 0.937199555 0.001363562 0.745698859 0.788357385 0.288023660
#>  [25] 0.317305311 0.346613691 0.406252029 0.297941603 0.536236776 0.556938344
#>  [31] 0.366540585 0.194304326 0.916062790 0.556938344 0.916062790 0.651262981
#>  [37] 0.651262981 0.894855250 0.767052595 0.203634584 0.396271224 0.406252029
#>  [43] 0.495359754 0.713760789 0.464699612 0.464699612 0.979115557 0.788357385
#>  [49] 0.692618610 0.203634584 0.831011331 0.873656354 0.150292907 0.176455912
#>  [55] 0.630063408 0.587894782 0.018514699 0.221753837 0.176455912 0.756390639
#>  [61] 0.070963199 0.249669069 0.894855250 0.042971053 0.735049330 0.240231921
#>  [67] 0.124780800 0.630063408 0.376433221 0.608903289 0.297941603 0.619484371
#>  [73] 0.158875071 0.767052595 0.556938344 0.651262981 0.317305311 0.862991373
#>  [79] 0.598401664 0.444618846 0.005733622 0.133473854 0.820297743 0.026456346
#>  [85] 0.221753837 0.505780942 0.406252029 0.979115557 0.070963199 0.133473854
#>  [91] 0.841666950 0.034971864 0.852322630 0.278227496 0.317305311 0.958116314
#>  [97] 0.011960048 0.167630897 0.703195953 0.056273330 0.444618846 0.259153451
#> [103] 0.356621336 0.259153451 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   159   133   111   184   175    16    39    14 175.1   197   171 171.1 197.1 
#> 10.55 14.65 17.45 17.77 21.91  8.71 15.59 12.89 21.91 21.60 16.57 16.57 21.60 
#> 175.2    63   181    66    23   101 101.1    24    81   123    88    51    41 
#> 21.91 22.77 16.46 22.13 16.92  9.97  9.97 23.89 14.06 13.00 18.37 18.23 18.02 
#> 111.1   108   130    85   134   105    61  85.1  61.1  39.1  39.2    52   155 
#> 17.45 18.29 16.47 16.44 17.81 19.75 10.12 16.44 10.12 15.59 15.59 10.42 13.08 
#>   170   117 111.2   106   180  23.1  23.2   149 123.1   167 170.1   154 159.1 
#> 19.54 17.46 17.45 16.67 14.82 16.92 16.92  8.37 13.00 15.55 19.54 12.63 10.55 
#>   128   166     6     5   168    55 166.1    60 175.3    97  52.1  63.1    96 
#> 20.35 19.98 15.64 16.43 23.72 19.34 19.98 13.15 21.91 19.14 10.42 22.77 14.54 
#>    76    99   6.1 184.1   100 108.1    26   150 155.1  85.2  39.3  51.1   107 
#> 19.22 21.19 15.64 17.77 16.07 18.29 15.77 20.33 13.08 16.44 15.59 18.23 11.18 
#>    79    30    78    90   140   164    58 171.2 111.3 149.1 175.4  90.1    37 
#> 16.23 17.43 23.88 20.94 12.68 23.60 19.34 16.57 17.45  8.37 21.91 20.94 12.52 
#>    69    43     8  51.2  16.1    86   158    18  66.1  30.1   179    40 179.1 
#> 23.23 12.10 18.43 18.23  8.71 23.81 20.14 15.21 22.13 17.43 18.63 18.00 18.63 
#>    62   102   191    82    54   198 191.1   178     9   141    75  75.1   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94     3   119 141.1    31   156   146  82.1   137    20  62.1    67  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48     7    47   151   162   160 151.1    21   193     1  21.1 162.1    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182 151.2   176  75.2   112 191.2   7.1  62.2   1.1  62.3  75.3   131    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174    87  19.1 151.3   163   122    95   161 174.1  47.1   132    33 141.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46   104 182.1 156.1 191.3    80 162.2   120   1.2   121   9.1 131.1  21.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1 137.1 198.1 132.1    84  84.1   135   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[90]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005534736               0.824736985               0.367594950 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.031731934             0.001237403            -0.298337912 
#>   grade_iii, Cure model 
#>             0.852489791 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 91     5.33      1  61        0         1
#> 63    22.77      1  31        1         0
#> 125   15.65      1  67        1         0
#> 106   16.67      1  49        1         0
#> 110   17.56      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 154   12.63      1  20        1         0
#> 78    23.88      1  43        0         0
#> 170   19.54      1  43        0         1
#> 69    23.23      1  25        0         1
#> 30    17.43      1  78        0         0
#> 171   16.57      1  41        0         1
#> 6     15.64      1  39        0         0
#> 183    9.24      1  67        1         0
#> 167   15.55      1  56        1         0
#> 25     6.32      1  34        1         0
#> 190   20.81      1  42        1         0
#> 150   20.33      1  48        0         0
#> 36    21.19      1  48        0         1
#> 78.1  23.88      1  43        0         0
#> 100   16.07      1  60        0         0
#> 175   21.91      1  43        0         0
#> 125.1 15.65      1  67        1         0
#> 139   21.49      1  63        1         0
#> 187    9.92      1  39        1         0
#> 59    10.16      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 61    10.12      1  36        0         1
#> 194   22.40      1  38        0         1
#> 89    11.44      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 26    15.77      1  49        0         1
#> 195   11.76      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 170.1 19.54      1  43        0         1
#> 6.1   15.64      1  39        0         0
#> 134   17.81      1  47        1         0
#> 59.1  10.16      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 100.2 16.07      1  60        0         0
#> 155   13.08      1  26        0         0
#> 129   23.41      1  53        1         0
#> 89.1  11.44      1  NA        0         0
#> 105   19.75      1  60        0         0
#> 10    10.53      1  34        0         0
#> 136   21.83      1  43        0         1
#> 76    19.22      1  54        0         1
#> 167.1 15.55      1  56        1         0
#> 133   14.65      1  57        0         0
#> 101    9.97      1  10        0         1
#> 66    22.13      1  53        0         0
#> 69.1  23.23      1  25        0         1
#> 187.1  9.92      1  39        1         0
#> 187.2  9.92      1  39        1         0
#> 58    19.34      1  39        0         0
#> 93    10.33      1  52        0         1
#> 107   11.18      1  54        1         0
#> 57    14.46      1  45        0         1
#> 68    20.62      1  44        0         0
#> 30.1  17.43      1  78        0         0
#> 69.2  23.23      1  25        0         1
#> 90    20.94      1  50        0         1
#> 30.2  17.43      1  78        0         0
#> 69.3  23.23      1  25        0         1
#> 157   15.10      1  47        0         0
#> 157.1 15.10      1  47        0         0
#> 5     16.43      1  51        0         1
#> 159   10.55      1  50        0         1
#> 49    12.19      1  48        1         0
#> 181   16.46      1  45        0         1
#> 51.1  18.23      1  83        0         1
#> 124    9.73      1  NA        1         0
#> 30.3  17.43      1  78        0         0
#> 81    14.06      1  34        0         0
#> 55    19.34      1  69        0         1
#> 57.1  14.46      1  45        0         1
#> 66.1  22.13      1  53        0         0
#> 168   23.72      1  70        0         0
#> 4     17.64      1  NA        0         1
#> 39    15.59      1  37        0         1
#> 113.1 22.86      1  34        0         0
#> 91.1   5.33      1  61        0         1
#> 79    16.23      1  54        1         0
#> 140   12.68      1  59        1         0
#> 168.1 23.72      1  70        0         0
#> 78.2  23.88      1  43        0         0
#> 45    17.42      1  54        0         1
#> 15    22.68      1  48        0         0
#> 18    15.21      1  49        1         0
#> 179   18.63      1  42        0         0
#> 13    14.34      1  54        0         1
#> 133.1 14.65      1  57        0         0
#> 56    12.21      1  60        0         0
#> 97    19.14      1  65        0         1
#> 190.1 20.81      1  42        1         0
#> 18.1  15.21      1  49        1         0
#> 181.1 16.46      1  45        0         1
#> 154.1 12.63      1  20        1         0
#> 192   16.44      1  31        1         0
#> 124.1  9.73      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 89.2  11.44      1  NA        0         0
#> 106.1 16.67      1  49        1         0
#> 164   23.60      1  76        0         1
#> 136.1 21.83      1  43        0         1
#> 110.1 17.56      1  65        0         1
#> 90.1  20.94      1  50        0         1
#> 61.1  10.12      1  36        0         1
#> 177   12.53      1  75        0         0
#> 194.1 22.40      1  38        0         1
#> 93.1  10.33      1  52        0         1
#> 3     24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 47    24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 182   24.00      0  35        0         0
#> 20    24.00      0  46        1         0
#> 44    24.00      0  56        0         0
#> 109   24.00      0  48        0         0
#> 53    24.00      0  32        0         1
#> 147   24.00      0  76        1         0
#> 54    24.00      0  53        1         0
#> 138   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 174   24.00      0  49        1         0
#> 112   24.00      0  61        0         0
#> 135   24.00      0  58        1         0
#> 104   24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 174.1 24.00      0  49        1         0
#> 95    24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 161   24.00      0  45        0         0
#> 9     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 84    24.00      0  39        0         1
#> 28    24.00      0  67        1         0
#> 138.1 24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 172   24.00      0  41        0         0
#> 148.1 24.00      0  61        1         0
#> 83    24.00      0   6        0         0
#> 135.1 24.00      0  58        1         0
#> 144   24.00      0  28        0         1
#> 73.1  24.00      0  NA        0         1
#> 27    24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 122   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 103   24.00      0  56        1         0
#> 84.1  24.00      0  39        0         1
#> 67.1  24.00      0  25        0         0
#> 83.1  24.00      0   6        0         0
#> 109.1 24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 160   24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 27.1  24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 148.2 24.00      0  61        1         0
#> 54.1  24.00      0  53        1         0
#> 95.1  24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 135.2 24.00      0  58        1         0
#> 83.2  24.00      0   6        0         0
#> 112.1 24.00      0  61        0         0
#> 46.2  24.00      0  71        0         0
#> 147.1 24.00      0  76        1         0
#> 22    24.00      0  52        1         0
#> 34    24.00      0  36        0         0
#> 162   24.00      0  51        0         0
#> 144.1 24.00      0  28        0         1
#> 44.1  24.00      0  56        0         0
#> 71    24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 160.1 24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 198.1 24.00      0  66        0         1
#> 19.1  24.00      0  57        0         1
#> 200.1 24.00      0  64        0         0
#> 147.2 24.00      0  76        1         0
#> 80    24.00      0  41        0         0
#> 19.2  24.00      0  57        0         1
#> 3.2   24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 21    24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 95.2  24.00      0  68        0         1
#> 148.3 24.00      0  61        1         0
#> 67.2  24.00      0  25        0         0
#> 165   24.00      0  47        0         0
#> 2     24.00      0   9        0         0
#> 151   24.00      0  42        0         0
#> 33    24.00      0  53        0         0
#> 46.3  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0317         NA        NA      NA
#> 2 age, Cure model          0.00124        NA        NA      NA
#> 3 grade_ii, Cure model    -0.298          NA        NA      NA
#> 4 grade_iii, Cure model    0.852          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00553        NA        NA      NA
#> 2 grade_ii, Survival model   0.825          NA        NA      NA
#> 3 grade_iii, Survival model  0.368          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.031732          0.001237         -0.298338          0.852490  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 247.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.031731934      0.001237403     -0.298337912      0.852489791 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005534736      0.824736985      0.367594950 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9901201 0.3257718 0.7743220 0.6909656 0.6292490 0.8540242 0.8945206
#>   [8] 0.0665090 0.5414089 0.2390556 0.6530517 0.7054890 0.7871149 0.9800679
#>  [15] 0.8062158 0.9851165 0.4837083 0.5128080 0.4517097 0.0665090 0.7476273
#>  [22] 0.4041786 0.7743220 0.4404133 0.9648199 0.7476273 0.9490302 0.3535964
#>  [29] 0.2962571 0.7676435 0.6042644 0.5414089 0.7871149 0.6210285 0.5128080
#>  [36] 0.7476273 0.8830643 0.2199585 0.5318626 0.9330334 0.4167739 0.5777867
#>  [43] 0.8062158 0.8422323 0.9595572 0.3791746 0.2390556 0.9648199 0.9648199
#>  [50] 0.5597982 0.9384134 0.9222321 0.8599108 0.5030795 0.6530517 0.2390556
#>  [57] 0.4627619 0.6530517 0.2390556 0.8303788 0.8303788 0.7338852 0.9276470
#>  [64] 0.9167504 0.7127277 0.6042644 0.6530517 0.8772904 0.5597982 0.8599108
#>  [71] 0.3791746 0.1462833 0.7998579 0.2962571 0.9901201 0.7408224 0.8888323
#>  [78] 0.1462833 0.0665090 0.6833445 0.3397707 0.8184749 0.5955087 0.8715086
#>  [85] 0.8422323 0.9112032 0.5867193 0.4837083 0.8184749 0.7127277 0.8945206
#>  [92] 0.7268875 0.6451415 0.6909656 0.1967103 0.4167739 0.6292490 0.4627619
#>  [99] 0.9490302 0.9056426 0.3535964 0.9384134 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    91    63   125   106   110    96   154    78   170    69    30   171     6 
#>  5.33 22.77 15.65 16.67 17.56 14.54 12.63 23.88 19.54 23.23 17.43 16.57 15.64 
#>   183   167    25   190   150    36  78.1   100   175 125.1   139   187 100.1 
#>  9.24 15.55  6.32 20.81 20.33 21.19 23.88 16.07 21.91 15.65 21.49  9.92 16.07 
#>    61   194   113    26    51 170.1   6.1   134 150.1 100.2   155   129   105 
#> 10.12 22.40 22.86 15.77 18.23 19.54 15.64 17.81 20.33 16.07 13.08 23.41 19.75 
#>    10   136    76 167.1   133   101    66  69.1 187.1 187.2    58    93   107 
#> 10.53 21.83 19.22 15.55 14.65  9.97 22.13 23.23  9.92  9.92 19.34 10.33 11.18 
#>    57    68  30.1  69.2    90  30.2  69.3   157 157.1     5   159    49   181 
#> 14.46 20.62 17.43 23.23 20.94 17.43 23.23 15.10 15.10 16.43 10.55 12.19 16.46 
#>  51.1  30.3    81    55  57.1  66.1   168    39 113.1  91.1    79   140 168.1 
#> 18.23 17.43 14.06 19.34 14.46 22.13 23.72 15.59 22.86  5.33 16.23 12.68 23.72 
#>  78.2    45    15    18   179    13 133.1    56    97 190.1  18.1 181.1 154.1 
#> 23.88 17.42 22.68 15.21 18.63 14.34 14.65 12.21 19.14 20.81 15.21 16.46 12.63 
#>   192   111 106.1   164 136.1 110.1  90.1  61.1   177 194.1  93.1     3    72 
#> 16.44 17.45 16.67 23.60 21.83 17.56 20.94 10.12 12.53 22.40 10.33 24.00 24.00 
#>    47   148   182    20    44   109    53   147    54   138   198   174   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   104    46 174.1    95   200   161     9    84    28 138.1  46.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1    83 135.1   144    27    67   122   178   103  84.1  67.1  83.1 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   160   3.1   176    65  27.1    98 148.2  54.1  95.1 135.2  83.2 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.2 147.1    22    34   162 144.1  44.1    71    64 160.1 176.1 198.1  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1 147.2    80  19.2   3.2   146    35    62    21   186  95.2 148.3  67.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165     2   151    33  46.3 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[91]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003898201               0.312056754               0.392555326 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.38221260              0.01112188             -0.17818765 
#>   grade_iii, Cure model 
#>              0.35692166 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 139   21.49      1  63        1         0
#> 45    17.42      1  54        0         1
#> 60    13.15      1  38        1         0
#> 188   16.16      1  46        0         1
#> 117   17.46      1  26        0         1
#> 192   16.44      1  31        1         0
#> 113   22.86      1  34        0         0
#> 139.1 21.49      1  63        1         0
#> 192.1 16.44      1  31        1         0
#> 93    10.33      1  52        0         1
#> 89    11.44      1  NA        0         0
#> 41    18.02      1  40        1         0
#> 88    18.37      1  47        0         0
#> 166   19.98      1  48        0         0
#> 97    19.14      1  65        0         1
#> 42    12.43      1  49        0         1
#> 70     7.38      1  30        1         0
#> 32    20.90      1  37        1         0
#> 127    3.53      1  62        0         1
#> 188.1 16.16      1  46        0         1
#> 133   14.65      1  57        0         0
#> 100   16.07      1  60        0         0
#> 16     8.71      1  71        0         1
#> 85    16.44      1  36        0         0
#> 157   15.10      1  47        0         0
#> 25     6.32      1  34        1         0
#> 16.1   8.71      1  71        0         1
#> 58    19.34      1  39        0         0
#> 81    14.06      1  34        0         0
#> 79    16.23      1  54        1         0
#> 93.1  10.33      1  52        0         1
#> 93.2  10.33      1  52        0         1
#> 136   21.83      1  43        0         1
#> 30    17.43      1  78        0         0
#> 189   10.51      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 168   23.72      1  70        0         0
#> 26    15.77      1  49        0         1
#> 79.1  16.23      1  54        1         0
#> 39    15.59      1  37        0         1
#> 134   17.81      1  47        1         0
#> 63    22.77      1  31        1         0
#> 177   12.53      1  75        0         0
#> 85.1  16.44      1  36        0         0
#> 167   15.55      1  56        1         0
#> 145   10.07      1  65        1         0
#> 133.1 14.65      1  57        0         0
#> 129   23.41      1  53        1         0
#> 179   18.63      1  42        0         0
#> 180   14.82      1  37        0         0
#> 101    9.97      1  10        0         1
#> 145.1 10.07      1  65        1         0
#> 37    12.52      1  57        1         0
#> 117.1 17.46      1  26        0         1
#> 158   20.14      1  74        1         0
#> 61    10.12      1  36        0         1
#> 24    23.89      1  38        0         0
#> 86    23.81      1  58        0         1
#> 197   21.60      1  69        1         0
#> 52    10.42      1  52        0         1
#> 77     7.27      1  67        0         1
#> 154   12.63      1  20        1         0
#> 123.1 13.00      1  44        1         0
#> 134.1 17.81      1  47        1         0
#> 179.1 18.63      1  42        0         0
#> 32.1  20.90      1  37        1         0
#> 128   20.35      1  35        0         1
#> 194   22.40      1  38        0         1
#> 110   17.56      1  65        0         1
#> 55    19.34      1  69        0         1
#> 170   19.54      1  43        0         1
#> 113.1 22.86      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 110.1 17.56      1  65        0         1
#> 81.1  14.06      1  34        0         0
#> 177.1 12.53      1  75        0         0
#> 91     5.33      1  61        0         1
#> 106   16.67      1  49        1         0
#> 150   20.33      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 124    9.73      1  NA        1         0
#> 26.1  15.77      1  49        0         1
#> 8     18.43      1  32        0         0
#> 170.1 19.54      1  43        0         1
#> 179.2 18.63      1  42        0         0
#> 190   20.81      1  42        1         0
#> 14    12.89      1  21        0         0
#> 134.2 17.81      1  47        1         0
#> 179.3 18.63      1  42        0         0
#> 106.1 16.67      1  49        1         0
#> 192.2 16.44      1  31        1         0
#> 86.1  23.81      1  58        0         1
#> 158.1 20.14      1  74        1         0
#> 113.2 22.86      1  34        0         0
#> 10    10.53      1  34        0         0
#> 177.2 12.53      1  75        0         0
#> 96    14.54      1  33        0         1
#> 5     16.43      1  51        0         1
#> 13    14.34      1  54        0         1
#> 78    23.88      1  43        0         0
#> 169   22.41      1  46        0         0
#> 188.2 16.16      1  46        0         1
#> 190.1 20.81      1  42        1         0
#> 97.1  19.14      1  65        0         1
#> 164   23.60      1  76        0         1
#> 40    18.00      1  28        1         0
#> 23    16.92      1  61        0         0
#> 110.2 17.56      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 136.1 21.83      1  43        0         1
#> 14.1  12.89      1  21        0         0
#> 35    24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 20    24.00      0  46        1         0
#> 120   24.00      0  68        0         1
#> 84    24.00      0  39        0         1
#> 185   24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 151   24.00      0  42        0         0
#> 142   24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 156   24.00      0  50        1         0
#> 80    24.00      0  41        0         0
#> 121   24.00      0  57        1         0
#> 193   24.00      0  45        0         1
#> 48    24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 126   24.00      0  48        0         0
#> 75    24.00      0  21        1         0
#> 141   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 17    24.00      0  38        0         1
#> 120.1 24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 46    24.00      0  71        0         0
#> 120.2 24.00      0  68        0         1
#> 48.1  24.00      0  31        1         0
#> 120.3 24.00      0  68        0         1
#> 65.1  24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 35.1  24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 67    24.00      0  25        0         0
#> 126.1 24.00      0  48        0         0
#> 151.1 24.00      0  42        0         0
#> 104.1 24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 176   24.00      0  43        0         1
#> 53    24.00      0  32        0         1
#> 121.1 24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 151.2 24.00      0  42        0         0
#> 65.2  24.00      0  57        1         0
#> 38    24.00      0  31        1         0
#> 151.3 24.00      0  42        0         0
#> 80.1  24.00      0  41        0         0
#> 84.1  24.00      0  39        0         1
#> 191.1 24.00      0  60        0         1
#> 173   24.00      0  19        0         1
#> 83    24.00      0   6        0         0
#> 11.1  24.00      0  42        0         1
#> 22    24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 48.2  24.00      0  31        1         0
#> 35.2  24.00      0  51        0         0
#> 95.1  24.00      0  68        0         1
#> 165   24.00      0  47        0         0
#> 7.1   24.00      0  37        1         0
#> 1     24.00      0  23        1         0
#> 151.4 24.00      0  42        0         0
#> 7.2   24.00      0  37        1         0
#> 1.1   24.00      0  23        1         0
#> 17.1  24.00      0  38        0         1
#> 173.1 24.00      0  19        0         1
#> 21.1  24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 44    24.00      0  56        0         0
#> 172   24.00      0  41        0         0
#> 7.3   24.00      0  37        1         0
#> 186.1 24.00      0  45        1         0
#> 138   24.00      0  44        1         0
#> 156.1 24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 17.2  24.00      0  38        0         1
#> 172.1 24.00      0  41        0         0
#> 9.1   24.00      0  31        1         0
#> 109.1 24.00      0  48        0         0
#> 118   24.00      0  44        1         0
#> 176.1 24.00      0  43        0         1
#> 126.2 24.00      0  48        0         0
#> 148   24.00      0  61        1         0
#> 138.1 24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 200   24.00      0  64        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.382         NA        NA      NA
#> 2 age, Cure model           0.0111        NA        NA      NA
#> 3 grade_ii, Cure model     -0.178         NA        NA      NA
#> 4 grade_iii, Cure model     0.357         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00390        NA        NA      NA
#> 2 grade_ii, Survival model   0.312          NA        NA      NA
#> 3 grade_iii, Survival model  0.393          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.38221           0.01112          -0.17819           0.35692  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 263.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.38221260       0.01112188      -0.17818765       0.35692166 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003898201      0.312056754      0.392555326 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.184007677 0.507062204 0.759861642 0.616167979 0.479299901 0.544152561
#>   [7] 0.081556152 0.184007677 0.544152561 0.876390848 0.404301207 0.394584067
#>  [13] 0.281238271 0.328943727 0.849378270 0.956014252 0.203864304 0.991229396
#>  [19] 0.616167979 0.705905462 0.642942283 0.938414075 0.544152561 0.687901137
#>  [25] 0.973649717 0.938414075 0.309987176 0.741920275 0.597997706 0.876390848
#>  [31] 0.876390848 0.153699766 0.497719716 0.768866864 0.048607551 0.652020541
#>  [37] 0.597997706 0.669940051 0.423606288 0.111217479 0.813544222 0.544152561
#>  [43] 0.678926432 0.911840582 0.705905462 0.070761921 0.347738883 0.696895489
#>  [49] 0.929551839 0.911840582 0.840354031 0.479299901 0.262095052 0.902931025
#>  [55] 0.005192713 0.029737392 0.173718657 0.867395772 0.964837641 0.804583339
#>  [61] 0.768866864 0.423606288 0.347738883 0.203864304 0.242619012 0.142978984
#>  [67] 0.451580985 0.309987176 0.291036489 0.081556152 0.451580985 0.741920275
#>  [73] 0.813544222 0.982446138 0.525714352 0.252324946 0.652020541 0.384906833
#>  [79] 0.291036489 0.347738883 0.223375429 0.786709161 0.423606288 0.347738883
#>  [85] 0.525714352 0.544152561 0.029737392 0.262095052 0.081556152 0.858381152
#>  [91] 0.813544222 0.723901371 0.588812447 0.732921879 0.016558870 0.121922085
#>  [97] 0.616167979 0.223375429 0.328943727 0.059785178 0.413979056 0.516370453
#> [103] 0.451580985 0.121922085 0.153699766 0.786709161 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>   139    45    60   188   117   192   113 139.1 192.1    93    41    88   166 
#> 21.49 17.42 13.15 16.16 17.46 16.44 22.86 21.49 16.44 10.33 18.02 18.37 19.98 
#>    97    42    70    32   127 188.1   133   100    16    85   157    25  16.1 
#> 19.14 12.43  7.38 20.90  3.53 16.16 14.65 16.07  8.71 16.44 15.10  6.32  8.71 
#>    58    81    79  93.1  93.2   136    30   123   168    26  79.1    39   134 
#> 19.34 14.06 16.23 10.33 10.33 21.83 17.43 13.00 23.72 15.77 16.23 15.59 17.81 
#>    63   177  85.1   167   145 133.1   129   179   180   101 145.1    37 117.1 
#> 22.77 12.53 16.44 15.55 10.07 14.65 23.41 18.63 14.82  9.97 10.07 12.52 17.46 
#>   158    61    24    86   197    52    77   154 123.1 134.1 179.1  32.1   128 
#> 20.14 10.12 23.89 23.81 21.60 10.42  7.27 12.63 13.00 17.81 18.63 20.90 20.35 
#>   194   110    55   170 113.1 110.1  81.1 177.1    91   106   150  26.1     8 
#> 22.40 17.56 19.34 19.54 22.86 17.56 14.06 12.53  5.33 16.67 20.33 15.77 18.43 
#> 170.1 179.2   190    14 134.2 179.3 106.1 192.2  86.1 158.1 113.2    10 177.2 
#> 19.54 18.63 20.81 12.89 17.81 18.63 16.67 16.44 23.81 20.14 22.86 10.53 12.53 
#>    96     5    13    78   169 188.2 190.1  97.1   164    40    23 110.2 169.1 
#> 14.54 16.43 14.34 23.88 22.41 16.16 20.81 19.14 23.60 18.00 16.92 17.56 22.41 
#> 136.1  14.1    35   104    20   120    84   185     2   151   142    98   156 
#> 21.83 12.89 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   121   193    48    21   109     7   126    75   141    65   191    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1    33    46 120.2  48.1 120.3  65.1   186   116  35.1    11    67 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1 104.1   146   176    53 121.1    28 151.2  65.2    38 151.3  80.1  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1   173    83  11.1    22    95  48.2  35.2  95.1   165   7.1     1 151.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.2   1.1  17.1 173.1  21.1     9    19    44   172   7.3 186.1   138 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143  17.2 172.1   9.1 109.1   118 176.1 126.2   148 138.1    12   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[92]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002371799               0.252193437               0.251591742 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.80147136              0.02206024             -0.18675475 
#>   grade_iii, Cure model 
#>              0.07596870 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 70     7.38      1  30        1         0
#> 177   12.53      1  75        0         0
#> 30    17.43      1  78        0         0
#> 86    23.81      1  58        0         1
#> 124    9.73      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 113   22.86      1  34        0         0
#> 169   22.41      1  46        0         0
#> 81    14.06      1  34        0         0
#> 175   21.91      1  43        0         0
#> 157   15.10      1  47        0         0
#> 127    3.53      1  62        0         1
#> 111   17.45      1  47        0         1
#> 166   19.98      1  48        0         0
#> 125   15.65      1  67        1         0
#> 89    11.44      1  NA        0         0
#> 133   14.65      1  57        0         0
#> 24    23.89      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 6     15.64      1  39        0         0
#> 45    17.42      1  54        0         1
#> 153   21.33      1  55        1         0
#> 197   21.60      1  69        1         0
#> 171   16.57      1  41        0         1
#> 194   22.40      1  38        0         1
#> 23    16.92      1  61        0         0
#> 155   13.08      1  26        0         0
#> 179   18.63      1  42        0         0
#> 42    12.43      1  49        0         1
#> 8     18.43      1  32        0         0
#> 155.1 13.08      1  26        0         0
#> 145   10.07      1  65        1         0
#> 192   16.44      1  31        1         0
#> 42.1  12.43      1  49        0         1
#> 179.1 18.63      1  42        0         0
#> 133.1 14.65      1  57        0         0
#> 81.1  14.06      1  34        0         0
#> 179.2 18.63      1  42        0         0
#> 197.1 21.60      1  69        1         0
#> 150   20.33      1  48        0         0
#> 14    12.89      1  21        0         0
#> 190   20.81      1  42        1         0
#> 77     7.27      1  67        0         1
#> 25     6.32      1  34        1         0
#> 76    19.22      1  54        0         1
#> 194.1 22.40      1  38        0         1
#> 52    10.42      1  52        0         1
#> 79    16.23      1  54        1         0
#> 37    12.52      1  57        1         0
#> 139   21.49      1  63        1         0
#> 145.1 10.07      1  65        1         0
#> 130   16.47      1  53        0         1
#> 13    14.34      1  54        0         1
#> 91     5.33      1  61        0         1
#> 190.1 20.81      1  42        1         0
#> 124.1  9.73      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 159   10.55      1  50        0         1
#> 189   10.51      1  NA        1         0
#> 133.2 14.65      1  57        0         0
#> 29    15.45      1  68        1         0
#> 78    23.88      1  43        0         0
#> 92    22.92      1  47        0         1
#> 189.1 10.51      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 180   14.82      1  37        0         0
#> 32    20.90      1  37        1         0
#> 194.2 22.40      1  38        0         1
#> 79.1  16.23      1  54        1         0
#> 158   20.14      1  74        1         0
#> 139.1 21.49      1  63        1         0
#> 175.1 21.91      1  43        0         0
#> 51    18.23      1  83        0         1
#> 29.1  15.45      1  68        1         0
#> 60    13.15      1  38        1         0
#> 184   17.77      1  38        0         0
#> 179.3 18.63      1  42        0         0
#> 111.1 17.45      1  47        0         1
#> 37.1  12.52      1  57        1         0
#> 43    12.10      1  61        0         1
#> 63    22.77      1  31        1         0
#> 190.2 20.81      1  42        1         0
#> 168.1 23.72      1  70        0         0
#> 188   16.16      1  46        0         1
#> 37.2  12.52      1  57        1         0
#> 96    14.54      1  33        0         1
#> 105   19.75      1  60        0         0
#> 134   17.81      1  47        1         0
#> 177.1 12.53      1  75        0         0
#> 168.2 23.72      1  70        0         0
#> 68    20.62      1  44        0         0
#> 10    10.53      1  34        0         0
#> 32.1  20.90      1  37        1         0
#> 97    19.14      1  65        0         1
#> 81.2  14.06      1  34        0         0
#> 153.1 21.33      1  55        1         0
#> 100   16.07      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 128   20.35      1  35        0         1
#> 81.3  14.06      1  34        0         0
#> 133.3 14.65      1  57        0         0
#> 140   12.68      1  59        1         0
#> 13.1  14.34      1  54        0         1
#> 18    15.21      1  49        1         0
#> 29.2  15.45      1  68        1         0
#> 199   19.81      1  NA        0         1
#> 180.1 14.82      1  37        0         0
#> 85    16.44      1  36        0         0
#> 150.1 20.33      1  48        0         0
#> 194.3 22.40      1  38        0         1
#> 194.4 22.40      1  38        0         1
#> 93    10.33      1  52        0         1
#> 119   24.00      0  17        0         0
#> 21    24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 44    24.00      0  56        0         0
#> 144   24.00      0  28        0         1
#> 162   24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 2     24.00      0   9        0         0
#> 65    24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 53    24.00      0  32        0         1
#> 138   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 193   24.00      0  45        0         1
#> 120   24.00      0  68        0         1
#> 46.1  24.00      0  71        0         0
#> 172.1 24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 17.1  24.00      0  38        0         1
#> 160   24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 54    24.00      0  53        1         0
#> 178   24.00      0  52        1         0
#> 137.1 24.00      0  45        1         0
#> 64    24.00      0  43        0         0
#> 20    24.00      0  46        1         0
#> 172.2 24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 198   24.00      0  66        0         1
#> 132   24.00      0  55        0         0
#> 9     24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 144.1 24.00      0  28        0         1
#> 163   24.00      0  66        0         0
#> 137.2 24.00      0  45        1         0
#> 112.1 24.00      0  61        0         0
#> 156   24.00      0  50        1         0
#> 151.1 24.00      0  42        0         0
#> 54.1  24.00      0  53        1         0
#> 135   24.00      0  58        1         0
#> 80    24.00      0  41        0         0
#> 38    24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 80.1  24.00      0  41        0         0
#> 54.2  24.00      0  53        1         0
#> 120.1 24.00      0  68        0         1
#> 131   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 112.2 24.00      0  61        0         0
#> 193.1 24.00      0  45        0         1
#> 193.2 24.00      0  45        0         1
#> 94    24.00      0  51        0         1
#> 33    24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 172.3 24.00      0  41        0         0
#> 176   24.00      0  43        0         1
#> 191   24.00      0  60        0         1
#> 173   24.00      0  19        0         1
#> 186   24.00      0  45        1         0
#> 126   24.00      0  48        0         0
#> 9.1   24.00      0  31        1         0
#> 126.1 24.00      0  48        0         0
#> 151.2 24.00      0  42        0         0
#> 146   24.00      0  63        1         0
#> 84    24.00      0  39        0         1
#> 142   24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 22    24.00      0  52        1         0
#> 2.1   24.00      0   9        0         0
#> 162.1 24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 119.2 24.00      0  17        0         0
#> 27    24.00      0  63        1         0
#> 53.1  24.00      0  32        0         1
#> 174.1 24.00      0  49        1         0
#> 73    24.00      0  NA        0         1
#> 182   24.00      0  35        0         0
#> 152   24.00      0  36        0         1
#> 191.1 24.00      0  60        0         1
#> 144.2 24.00      0  28        0         1
#> 102   24.00      0  49        0         0
#> 48    24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.801         NA        NA      NA
#> 2 age, Cure model           0.0221        NA        NA      NA
#> 3 grade_ii, Cure model     -0.187         NA        NA      NA
#> 4 grade_iii, Cure model     0.0760        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00237        NA        NA      NA
#> 2 grade_ii, Survival model   0.252          NA        NA      NA
#> 3 grade_iii, Survival model  0.252          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.80147           0.02206          -0.18675           0.07597  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 260.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.80147136       0.02206024      -0.18675475       0.07596870 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002371799      0.252193437      0.251591742 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.96398381 0.86035569 0.56716080 0.07612797 0.13467171 0.16310064
#>   [7] 0.19033903 0.78420460 0.25606313 0.70655725 0.99284622 0.55009903
#>  [13] 0.43452962 0.65881763 0.73015676 0.02253802 0.02253802 0.66693406
#>  [19] 0.57573043 0.32021043 0.27827135 0.59273345 0.20364907 0.58424157
#>  [25] 0.82224417 0.47117909 0.89779002 0.50605933 0.82224417 0.94949085
#>  [31] 0.60956227 0.89779002 0.47117909 0.73015676 0.78420460 0.47117909
#>  [37] 0.27827135 0.40669778 0.83749667 0.35976119 0.97123684 0.97846248
#>  [43] 0.45299962 0.20364907 0.93480351 0.62611450 0.87547763 0.29960303
#>  [49] 0.94949085 0.60117485 0.76881997 0.98566711 0.35976119 0.09387678
#>  [55] 0.92003233 0.73015676 0.67504093 0.05620566 0.14918173 0.52385729
#>  [61] 0.71446347 0.34021824 0.20364907 0.62611450 0.42525613 0.29960303
#>  [67] 0.25606313 0.51500181 0.67504093 0.81457313 0.54138169 0.47117909
#>  [73] 0.55009903 0.87547763 0.91261759 0.17692126 0.35976119 0.09387678
#>  [79] 0.64246674 0.87547763 0.76101631 0.44377931 0.53265110 0.86035569
#>  [85] 0.09387678 0.38772783 0.92742039 0.34021824 0.46213409 0.78420460
#>  [91] 0.32021043 0.65065004 0.83749667 0.39725779 0.78420460 0.73015676
#>  [97] 0.85273501 0.76881997 0.69864059 0.67504093 0.71446347 0.60956227
#> [103] 0.40669778 0.20364907 0.20364907 0.94216020 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    70   177    30    86   129   113   169    81   175   157   127   111   166 
#>  7.38 12.53 17.43 23.81 23.41 22.86 22.41 14.06 21.91 15.10  3.53 17.45 19.98 
#>   125   133    24  24.1     6    45   153   197   171   194    23   155   179 
#> 15.65 14.65 23.89 23.89 15.64 17.42 21.33 21.60 16.57 22.40 16.92 13.08 18.63 
#>    42     8 155.1   145   192  42.1 179.1 133.1  81.1 179.2 197.1   150    14 
#> 12.43 18.43 13.08 10.07 16.44 12.43 18.63 14.65 14.06 18.63 21.60 20.33 12.89 
#>   190    77    25    76 194.1    52    79    37   139 145.1   130    13    91 
#> 20.81  7.27  6.32 19.22 22.40 10.42 16.23 12.52 21.49 10.07 16.47 14.34  5.33 
#> 190.1   168   159 133.2    29    78    92    41   180    32 194.2  79.1   158 
#> 20.81 23.72 10.55 14.65 15.45 23.88 22.92 18.02 14.82 20.90 22.40 16.23 20.14 
#> 139.1 175.1    51  29.1    60   184 179.3 111.1  37.1    43    63 190.2 168.1 
#> 21.49 21.91 18.23 15.45 13.15 17.77 18.63 17.45 12.52 12.10 22.77 20.81 23.72 
#>   188  37.2    96   105   134 177.1 168.2    68    10  32.1    97  81.2 153.1 
#> 16.16 12.52 14.54 19.75 17.81 12.53 23.72 20.62 10.53 20.90 19.14 14.06 21.33 
#>   100  14.1   128  81.3 133.3   140  13.1    18  29.2 180.1    85 150.1 194.3 
#> 16.07 12.89 20.35 14.06 14.65 12.68 14.34 15.21 15.45 14.82 16.44 20.33 22.40 
#> 194.4    93   119    21   172   137    62    17   112    44   144   162    46 
#> 22.40 10.33 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2    65   174    53   138    75   103   193   120  46.1 172.1     1  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160    87    54   178 137.1    64    20 172.2   151   198   132     9   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1   163 137.2 112.1   156 151.1  54.1   135    80    38 119.1  80.1  54.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1   131    98 112.2 193.1 193.2    94    33     3 172.3   176   191   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   126   9.1 126.1 151.2   146    84   142   104    22   2.1 162.1    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.2    27  53.1 174.1   182   152 191.1 144.2   102    48    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[93]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008275025               1.582790871               0.748180540 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.496209886             0.009982384            -0.368780779 
#>   grade_iii, Cure model 
#>             0.830101104 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 167   15.55      1  56        1         0
#> 70     7.38      1  30        1         0
#> 8     18.43      1  32        0         0
#> 60    13.15      1  38        1         0
#> 92    22.92      1  47        0         1
#> 66    22.13      1  53        0         0
#> 127    3.53      1  62        0         1
#> 149    8.37      1  33        1         0
#> 43    12.10      1  61        0         1
#> 92.1  22.92      1  47        0         1
#> 128   20.35      1  35        0         1
#> 189   10.51      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 43.1  12.10      1  61        0         1
#> 24    23.89      1  38        0         0
#> 166   19.98      1  48        0         0
#> 66.1  22.13      1  53        0         0
#> 66.2  22.13      1  53        0         0
#> 125   15.65      1  67        1         0
#> 153   21.33      1  55        1         0
#> 70.1   7.38      1  30        1         0
#> 68    20.62      1  44        0         0
#> 13    14.34      1  54        0         1
#> 159   10.55      1  50        0         1
#> 101    9.97      1  10        0         1
#> 90    20.94      1  50        0         1
#> 59    10.16      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 59.1  10.16      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 194   22.40      1  38        0         1
#> 113   22.86      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 6     15.64      1  39        0         0
#> 66.3  22.13      1  53        0         0
#> 164   23.60      1  76        0         1
#> 77     7.27      1  67        0         1
#> 105   19.75      1  60        0         0
#> 117   17.46      1  26        0         1
#> 4     17.64      1  NA        0         1
#> 43.2  12.10      1  61        0         1
#> 175   21.91      1  43        0         0
#> 199   19.81      1  NA        0         1
#> 42    12.43      1  49        0         1
#> 29    15.45      1  68        1         0
#> 168   23.72      1  70        0         0
#> 159.1 10.55      1  50        0         1
#> 125.1 15.65      1  67        1         0
#> 24.1  23.89      1  38        0         0
#> 195.1 11.76      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 89.1  11.44      1  NA        0         0
#> 113.1 22.86      1  34        0         0
#> 52    10.42      1  52        0         1
#> 39    15.59      1  37        0         1
#> 41    18.02      1  40        1         0
#> 168.1 23.72      1  70        0         0
#> 51    18.23      1  83        0         1
#> 43.3  12.10      1  61        0         1
#> 107   11.18      1  54        1         0
#> 81    14.06      1  34        0         0
#> 24.2  23.89      1  38        0         0
#> 107.1 11.18      1  54        1         0
#> 43.4  12.10      1  61        0         1
#> 4.1   17.64      1  NA        0         1
#> 92.2  22.92      1  47        0         1
#> 100   16.07      1  60        0         0
#> 136   21.83      1  43        0         1
#> 85    16.44      1  36        0         0
#> 60.1  13.15      1  38        1         0
#> 130   16.47      1  53        0         1
#> 24.3  23.89      1  38        0         0
#> 58    19.34      1  39        0         0
#> 92.3  22.92      1  47        0         1
#> 15    22.68      1  48        0         0
#> 25     6.32      1  34        1         0
#> 93    10.33      1  52        0         1
#> 52.1  10.42      1  52        0         1
#> 56    12.21      1  60        0         0
#> 108   18.29      1  39        0         1
#> 90.1  20.94      1  50        0         1
#> 128.1 20.35      1  35        0         1
#> 117.1 17.46      1  26        0         1
#> 145   10.07      1  65        1         0
#> 164.1 23.60      1  76        0         1
#> 150   20.33      1  48        0         0
#> 96    14.54      1  33        0         1
#> 184   17.77      1  38        0         0
#> 16     8.71      1  71        0         1
#> 164.2 23.60      1  76        0         1
#> 56.1  12.21      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 113.2 22.86      1  34        0         0
#> 192   16.44      1  31        1         0
#> 24.4  23.89      1  38        0         0
#> 189.1 10.51      1  NA        1         0
#> 52.2  10.42      1  52        0         1
#> 189.2 10.51      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 154   12.63      1  20        1         0
#> 58.1  19.34      1  39        0         0
#> 170   19.54      1  43        0         1
#> 117.2 17.46      1  26        0         1
#> 23    16.92      1  61        0         0
#> 88    18.37      1  47        0         0
#> 110   17.56      1  65        0         1
#> 170.1 19.54      1  43        0         1
#> 169   22.41      1  46        0         0
#> 139   21.49      1  63        1         0
#> 23.1  16.92      1  61        0         0
#> 82    24.00      0  34        0         0
#> 142   24.00      0  53        0         0
#> 27    24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 72    24.00      0  40        0         1
#> 46    24.00      0  71        0         0
#> 186   24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 44    24.00      0  56        0         0
#> 146.1 24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 73    24.00      0  NA        0         1
#> 196   24.00      0  19        0         0
#> 120   24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 2     24.00      0   9        0         0
#> 2.1   24.00      0   9        0         0
#> 48    24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 44.1  24.00      0  56        0         0
#> 103   24.00      0  56        1         0
#> 44.2  24.00      0  56        0         0
#> 116   24.00      0  58        0         1
#> 19    24.00      0  57        0         1
#> 165   24.00      0  47        0         0
#> 148   24.00      0  61        1         0
#> 109   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 176   24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 156   24.00      0  50        1         0
#> 147.1 24.00      0  76        1         0
#> 182   24.00      0  35        0         0
#> 34    24.00      0  36        0         0
#> 126   24.00      0  48        0         0
#> 9.1   24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 48.1  24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 83    24.00      0   6        0         0
#> 131   24.00      0  66        0         0
#> 34.1  24.00      0  36        0         0
#> 95    24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 131.1 24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 131.2 24.00      0  66        0         0
#> 196.1 24.00      0  19        0         0
#> 173.1 24.00      0  19        0         1
#> 2.2   24.00      0   9        0         0
#> 34.2  24.00      0  36        0         0
#> 148.1 24.00      0  61        1         0
#> 146.2 24.00      0  63        1         0
#> 9.2   24.00      0  31        1         0
#> 46.1  24.00      0  71        0         0
#> 151   24.00      0  42        0         0
#> 11    24.00      0  42        0         1
#> 178   24.00      0  52        1         0
#> 17.1  24.00      0  38        0         1
#> 165.1 24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 82.1  24.00      0  34        0         0
#> 131.3 24.00      0  66        0         0
#> 191.1 24.00      0  60        0         1
#> 126.1 24.00      0  48        0         0
#> 165.2 24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 54.1  24.00      0  53        1         0
#> 131.4 24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 102   24.00      0  49        0         0
#> 142.1 24.00      0  53        0         0
#> 1.1   24.00      0  23        1         0
#> 112   24.00      0  61        0         0
#> 28.1  24.00      0  67        1         0
#> 2.3   24.00      0   9        0         0
#> 27.1  24.00      0  63        1         0
#> 73.1  24.00      0  NA        0         1
#> 34.3  24.00      0  36        0         0
#> 3     24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 147.2 24.00      0  76        1         0
#> 17.2  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.496          NA        NA      NA
#> 2 age, Cure model          0.00998        NA        NA      NA
#> 3 grade_ii, Cure model    -0.369          NA        NA      NA
#> 4 grade_iii, Cure model    0.830          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00828        NA        NA      NA
#> 2 grade_ii, Survival model   1.58           NA        NA      NA
#> 3 grade_iii, Survival model  0.748          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.496210          0.009982         -0.368781          0.830101  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 244.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.496209886      0.009982384     -0.368780779      0.830101104 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008275025      1.582790871      0.748180540 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.70528186 0.96675663 0.49983272 0.78443363 0.13226359 0.25161463
#>   [7] 0.99342708 0.95977085 0.83253189 0.13226359 0.38845186 0.74090269
#>  [13] 0.83253189 0.01530405 0.42157929 0.25161463 0.25161463 0.66756658
#>  [19] 0.34280005 0.96675663 0.37695074 0.76710973 0.88628185 0.93823537
#>  [25] 0.35450518 0.72342355 0.48863877 0.23874297 0.17643758 0.94550939
#>  [31] 0.68635865 0.25161463 0.09153967 0.98013849 0.43288690 0.57680583
#>  [37] 0.83253189 0.30274275 0.80872175 0.71445481 0.06019711 0.88628185
#>  [43] 0.66756658 0.01530405 0.75842521 0.17643758 0.90127801 0.69585600
#>  [49] 0.54481168 0.06019711 0.53362241 0.83253189 0.87118425 0.77575982
#>  [55] 0.01530405 0.87118425 0.83253189 0.13226359 0.65759566 0.31661239
#>  [61] 0.63792087 0.78443363 0.62760411 0.01530405 0.46632970 0.13226359
#>  [67] 0.21246633 0.98684260 0.92347203 0.90127801 0.81664406 0.52241830
#>  [73] 0.35450518 0.38845186 0.57680583 0.93090764 0.09153967 0.41037024
#>  [79] 0.74969508 0.55545522 0.95264477 0.09153967 0.81664406 0.17643758
#>  [85] 0.63792087 0.01530405 0.90127801 0.73214936 0.80076758 0.46632970
#>  [91] 0.44431131 0.57680583 0.60701842 0.51108530 0.56615408 0.44431131
#>  [97] 0.22548341 0.33019626 0.60701842 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   167    70     8    60    92    66   127   149    43  92.1   128   133  43.1 
#> 15.55  7.38 18.43 13.15 22.92 22.13  3.53  8.37 12.10 22.92 20.35 14.65 12.10 
#>    24   166  66.1  66.2   125   153  70.1    68    13   159   101    90    18 
#> 23.89 19.98 22.13 22.13 15.65 21.33  7.38 20.62 14.34 10.55  9.97 20.94 15.21 
#>    76   194   113   187     6  66.3   164    77   105   117  43.2   175    42 
#> 19.22 22.40 22.86  9.92 15.64 22.13 23.60  7.27 19.75 17.46 12.10 21.91 12.43 
#>    29   168 159.1 125.1  24.1    57 113.1    52    39    41 168.1    51  43.3 
#> 15.45 23.72 10.55 15.65 23.89 14.46 22.86 10.42 15.59 18.02 23.72 18.23 12.10 
#>   107    81  24.2 107.1  43.4  92.2   100   136    85  60.1   130  24.3    58 
#> 11.18 14.06 23.89 11.18 12.10 22.92 16.07 21.83 16.44 13.15 16.47 23.89 19.34 
#>  92.3    15    25    93  52.1    56   108  90.1 128.1 117.1   145 164.1   150 
#> 22.92 22.68  6.32 10.33 10.42 12.21 18.29 20.94 20.35 17.46 10.07 23.60 20.33 
#>    96   184    16 164.2  56.1 113.2   192  24.4  52.2   180   154  58.1   170 
#> 14.54 17.77  8.71 23.60 12.21 22.86 16.44 23.89 10.42 14.82 12.63 19.34 19.54 
#> 117.2    23    88   110 170.1   169   139  23.1    82   142    27    67    72 
#> 17.46 16.92 18.37 17.56 19.54 22.41 21.49 16.92 24.00 24.00 24.00 24.00 24.00 
#>    46   186    74   146    44 146.1    80    54   196   120   104     2   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48    53  44.1   103  44.2   116    19   165   148   109   141   147   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9   191   156 147.1   182    34   126   9.1     1  48.1    17   193    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131  34.1    95   119 131.1   173 131.2 196.1 173.1   2.2  34.2 148.1 146.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.2  46.1   151    11   178  17.1 165.1    94  82.1 131.3 191.1 126.1 165.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28  54.1 131.4    20   102 142.1   1.1   112  28.1   2.3  27.1  34.3     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1 147.2  17.2 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[94]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002780959               0.587610316               0.534025650 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.97791434              0.01855271              0.29346646 
#>   grade_iii, Cure model 
#>              0.42954342 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 42    12.43      1  49        0         1
#> 158   20.14      1  74        1         0
#> 52    10.42      1  52        0         1
#> 6     15.64      1  39        0         0
#> 56    12.21      1  60        0         0
#> 192   16.44      1  31        1         0
#> 24    23.89      1  38        0         0
#> 149    8.37      1  33        1         0
#> 15    22.68      1  48        0         0
#> 157   15.10      1  47        0         0
#> 167   15.55      1  56        1         0
#> 189   10.51      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 57    14.46      1  45        0         1
#> 100   16.07      1  60        0         0
#> 86    23.81      1  58        0         1
#> 36    21.19      1  48        0         1
#> 164   23.60      1  76        0         1
#> 57.1  14.46      1  45        0         1
#> 52.1  10.42      1  52        0         1
#> 40    18.00      1  28        1         0
#> 194   22.40      1  38        0         1
#> 68    20.62      1  44        0         0
#> 59    10.16      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 133   14.65      1  57        0         0
#> 127.1  3.53      1  62        0         1
#> 181   16.46      1  45        0         1
#> 86.1  23.81      1  58        0         1
#> 88    18.37      1  47        0         0
#> 23    16.92      1  61        0         0
#> 96    14.54      1  33        0         1
#> 113   22.86      1  34        0         0
#> 32    20.90      1  37        1         0
#> 45    17.42      1  54        0         1
#> 78    23.88      1  43        0         0
#> 130   16.47      1  53        0         1
#> 194.1 22.40      1  38        0         1
#> 105   19.75      1  60        0         0
#> 190   20.81      1  42        1         0
#> 192.1 16.44      1  31        1         0
#> 128   20.35      1  35        0         1
#> 153   21.33      1  55        1         0
#> 18    15.21      1  49        1         0
#> 88.1  18.37      1  47        0         0
#> 42.1  12.43      1  49        0         1
#> 59.2  10.16      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 133.1 14.65      1  57        0         0
#> 166   19.98      1  48        0         0
#> 68.1  20.62      1  44        0         0
#> 61    10.12      1  36        0         1
#> 130.1 16.47      1  53        0         1
#> 175   21.91      1  43        0         0
#> 150   20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 168   23.72      1  70        0         0
#> 111.1 17.45      1  47        0         1
#> 194.2 22.40      1  38        0         1
#> 108   18.29      1  39        0         1
#> 199   19.81      1  NA        0         1
#> 199.1 19.81      1  NA        0         1
#> 78.1  23.88      1  43        0         0
#> 106   16.67      1  49        1         0
#> 145   10.07      1  65        1         0
#> 4     17.64      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 86.2  23.81      1  58        0         1
#> 154   12.63      1  20        1         0
#> 4.1   17.64      1  NA        0         1
#> 113.1 22.86      1  34        0         0
#> 129   23.41      1  53        1         0
#> 139   21.49      1  63        1         0
#> 92    22.92      1  47        0         1
#> 197   21.60      1  69        1         0
#> 23.1  16.92      1  61        0         0
#> 180   14.82      1  37        0         0
#> 36.1  21.19      1  48        0         1
#> 16     8.71      1  71        0         1
#> 77     7.27      1  67        0         1
#> 16.1   8.71      1  71        0         1
#> 29    15.45      1  68        1         0
#> 97    19.14      1  65        0         1
#> 134   17.81      1  47        1         0
#> 136   21.83      1  43        0         1
#> 127.2  3.53      1  62        0         1
#> 41    18.02      1  40        1         0
#> 168.1 23.72      1  70        0         0
#> 4.2   17.64      1  NA        0         1
#> 4.3   17.64      1  NA        0         1
#> 88.2  18.37      1  47        0         0
#> 15.1  22.68      1  48        0         0
#> 169   22.41      1  46        0         0
#> 127.3  3.53      1  62        0         1
#> 10    10.53      1  34        0         0
#> 24.1  23.89      1  38        0         0
#> 133.2 14.65      1  57        0         0
#> 197.1 21.60      1  69        1         0
#> 175.1 21.91      1  43        0         0
#> 49    12.19      1  48        1         0
#> 114   13.68      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 52.2  10.42      1  52        0         1
#> 50    10.02      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 197.2 21.60      1  69        1         0
#> 140   12.68      1  59        1         0
#> 23.2  16.92      1  61        0         0
#> 61.1  10.12      1  36        0         1
#> 110   17.56      1  65        0         1
#> 26.1  15.77      1  49        0         1
#> 94    24.00      0  51        0         1
#> 182   24.00      0  35        0         0
#> 84    24.00      0  39        0         1
#> 112   24.00      0  61        0         0
#> 137   24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 119   24.00      0  17        0         0
#> 17    24.00      0  38        0         1
#> 109   24.00      0  48        0         0
#> 109.1 24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 160   24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 33    24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 144   24.00      0  28        0         1
#> 151   24.00      0  42        0         0
#> 191   24.00      0  60        0         1
#> 186   24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 115   24.00      0  NA        1         0
#> 121   24.00      0  57        1         0
#> 151.1 24.00      0  42        0         0
#> 160.1 24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 132   24.00      0  55        0         0
#> 196.1 24.00      0  19        0         0
#> 12.1  24.00      0  63        0         0
#> 44    24.00      0  56        0         0
#> 137.1 24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 3     24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 62    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 98    24.00      0  34        1         0
#> 142   24.00      0  53        0         0
#> 122   24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 163   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 132.1 24.00      0  55        0         0
#> 83.1  24.00      0   6        0         0
#> 83.2  24.00      0   6        0         0
#> 17.1  24.00      0  38        0         1
#> 142.1 24.00      0  53        0         0
#> 118   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 12.2  24.00      0  63        0         0
#> 115.1 24.00      0  NA        1         0
#> 151.2 24.00      0  42        0         0
#> 84.2  24.00      0  39        0         1
#> 146   24.00      0  63        1         0
#> 104   24.00      0  50        1         0
#> 141   24.00      0  44        1         0
#> 80.1  24.00      0  41        0         0
#> 191.1 24.00      0  60        0         1
#> 94.1  24.00      0  51        0         1
#> 191.2 24.00      0  60        0         1
#> 126   24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 95.1  24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 147.1 24.00      0  76        1         0
#> 7     24.00      0  37        1         0
#> 95.2  24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 19    24.00      0  57        0         1
#> 80.2  24.00      0  41        0         0
#> 152   24.00      0  36        0         1
#> 173.1 24.00      0  19        0         1
#> 191.3 24.00      0  60        0         1
#> 152.1 24.00      0  36        0         1
#> 151.3 24.00      0  42        0         0
#> 178   24.00      0  52        1         0
#> 120.1 24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 163.1 24.00      0  66        0         0
#> 185.1 24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 95.3  24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 19.1  24.00      0  57        0         1
#> 19.2  24.00      0  57        0         1
#> 173.2 24.00      0  19        0         1
#> 161   24.00      0  45        0         0
#> 80.3  24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.978         NA        NA      NA
#> 2 age, Cure model           0.0186        NA        NA      NA
#> 3 grade_ii, Cure model      0.293         NA        NA      NA
#> 4 grade_iii, Cure model     0.430         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00278        NA        NA      NA
#> 2 grade_ii, Survival model   0.588          NA        NA      NA
#> 3 grade_iii, Survival model  0.534          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.97791           0.01855           0.29347           0.42954  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 251.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.97791434       0.01855271       0.29346646       0.42954342 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002780959      0.587610316      0.534025650 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.87004995 0.54244742 0.90267909 0.75986026 0.88312532 0.72350711
#>   [7] 0.03866924 0.95876457 0.30302992 0.78823509 0.76706426 0.97085658
#>  [13] 0.82971516 0.73815680 0.14863454 0.46712693 0.23096748 0.82971516
#>  [19] 0.90267909 0.62124414 0.34354401 0.50549616 0.97684465 0.80218485
#>  [25] 0.97684465 0.71599783 0.14863454 0.57820950 0.66990439 0.82282671
#>  [31] 0.27581641 0.48649803 0.66200877 0.09508395 0.70091116 0.34354401
#>  [37] 0.56043737 0.49609009 0.72350711 0.52404437 0.45693335 0.78124825
#>  [43] 0.57820950 0.87004995 0.64612676 0.80218485 0.55145287 0.50549616
#>  [49] 0.92163816 0.70091116 0.37921912 0.53325723 0.74550505 0.19784350
#>  [55] 0.64612676 0.34354401 0.60408709 0.09508395 0.69316303 0.93416860
#>  [61] 0.94040644 0.14863454 0.85672135 0.27581641 0.24686051 0.44648404
#>  [67] 0.26171602 0.41504193 0.66990439 0.79521328 0.46712693 0.94659631
#>  [73] 0.96483056 0.94659631 0.77419440 0.56939580 0.62965294 0.40319835
#>  [79] 0.97684465 0.61272635 0.19784350 0.57820950 0.30302992 0.32990066
#>  [85] 0.97684465 0.89618115 0.03866924 0.80218485 0.41504193 0.37921912
#>  [91] 0.88967854 0.84322639 0.90267909 0.86339162 0.41504193 0.85000388
#>  [97] 0.66990439 0.92163816 0.63794535 0.74550505 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    42   158    52     6    56   192    24   149    15   157   167    91    57 
#> 12.43 20.14 10.42 15.64 12.21 16.44 23.89  8.37 22.68 15.10 15.55  5.33 14.46 
#>   100    86    36   164  57.1  52.1    40   194    68   127   133 127.1   181 
#> 16.07 23.81 21.19 23.60 14.46 10.42 18.00 22.40 20.62  3.53 14.65  3.53 16.46 
#>  86.1    88    23    96   113    32    45    78   130 194.1   105   190 192.1 
#> 23.81 18.37 16.92 14.54 22.86 20.90 17.42 23.88 16.47 22.40 19.75 20.81 16.44 
#>   128   153    18  88.1  42.1   111 133.1   166  68.1    61 130.1   175   150 
#> 20.35 21.33 15.21 18.37 12.43 17.45 14.65 19.98 20.62 10.12 16.47 21.91 20.33 
#>    26   168 111.1 194.2   108  78.1   106   145   183  86.2   154 113.1   129 
#> 15.77 23.72 17.45 22.40 18.29 23.88 16.67 10.07  9.24 23.81 12.63 22.86 23.41 
#>   139    92   197  23.1   180  36.1    16    77  16.1    29    97   134   136 
#> 21.49 22.92 21.60 16.92 14.82 21.19  8.71  7.27  8.71 15.45 19.14 17.81 21.83 
#> 127.2    41 168.1  88.2  15.1   169 127.3    10  24.1 133.2 197.1 175.1    49 
#>  3.53 18.02 23.72 18.37 22.68 22.41  3.53 10.53 23.89 14.65 21.60 21.91 12.19 
#>    81  52.2   177 197.2   140  23.2  61.1   110  26.1    94   182    84   112 
#> 14.06 10.42 12.53 21.60 12.68 16.92 10.12 17.56 15.77 24.00 24.00 24.00 24.00 
#>   137    83   119    17   109 109.1    12   160    28    33    67   144   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191   186   185   196   121 151.1 160.1  84.1   132 196.1  12.1    44 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102     3 112.1    62    95    98   142   122    80   163   120 132.1  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.2  17.1 142.1   118   176  12.2 151.2  84.2   146   104   141  80.1 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1 191.2   126    87  95.1   147 147.1     7  95.2   173    19  80.2   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1 191.3 152.1 151.3   178 120.1   200 163.1 185.1    82  95.3   193  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.2 173.2   161  80.3 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[95]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01884671                0.39630381               -0.12216701 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.683585305             0.009658887             0.251282160 
#>   grade_iii, Cure model 
#>             0.859606385 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 32    20.90      1  37        1         0
#> 117   17.46      1  26        0         1
#> 187    9.92      1  39        1         0
#> 149    8.37      1  33        1         0
#> 107   11.18      1  54        1         0
#> 23    16.92      1  61        0         0
#> 101    9.97      1  10        0         1
#> 136   21.83      1  43        0         1
#> 107.1 11.18      1  54        1         0
#> 192   16.44      1  31        1         0
#> 51    18.23      1  83        0         1
#> 190   20.81      1  42        1         0
#> 41    18.02      1  40        1         0
#> 158   20.14      1  74        1         0
#> 4     17.64      1  NA        0         1
#> 29    15.45      1  68        1         0
#> 111   17.45      1  47        0         1
#> 140   12.68      1  59        1         0
#> 107.2 11.18      1  54        1         0
#> 57    14.46      1  45        0         1
#> 8     18.43      1  32        0         0
#> 184   17.77      1  38        0         0
#> 92    22.92      1  47        0         1
#> 43    12.10      1  61        0         1
#> 79    16.23      1  54        1         0
#> 40    18.00      1  28        1         0
#> 51.1  18.23      1  83        0         1
#> 30    17.43      1  78        0         0
#> 170   19.54      1  43        0         1
#> 23.1  16.92      1  61        0         0
#> 55    19.34      1  69        0         1
#> 124    9.73      1  NA        1         0
#> 8.1   18.43      1  32        0         0
#> 16     8.71      1  71        0         1
#> 154   12.63      1  20        1         0
#> 32.1  20.90      1  37        1         0
#> 199   19.81      1  NA        0         1
#> 99    21.19      1  38        0         1
#> 88    18.37      1  47        0         0
#> 190.1 20.81      1  42        1         0
#> 164   23.60      1  76        0         1
#> 101.1  9.97      1  10        0         1
#> 170.1 19.54      1  43        0         1
#> 90    20.94      1  50        0         1
#> 79.1  16.23      1  54        1         0
#> 92.1  22.92      1  47        0         1
#> 30.1  17.43      1  78        0         0
#> 111.1 17.45      1  47        0         1
#> 39    15.59      1  37        0         1
#> 60    13.15      1  38        1         0
#> 50    10.02      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 129   23.41      1  53        1         0
#> 111.2 17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 105   19.75      1  60        0         0
#> 140.1 12.68      1  59        1         0
#> 4.1   17.64      1  NA        0         1
#> 140.2 12.68      1  59        1         0
#> 114   13.68      1  NA        0         0
#> 149.1  8.37      1  33        1         0
#> 86    23.81      1  58        0         1
#> 125   15.65      1  67        1         0
#> 154.1 12.63      1  20        1         0
#> 134   17.81      1  47        1         0
#> 57.1  14.46      1  45        0         1
#> 42    12.43      1  49        0         1
#> 133   14.65      1  57        0         0
#> 89    11.44      1  NA        0         0
#> 45.1  17.42      1  54        0         1
#> 81    14.06      1  34        0         0
#> 30.2  17.43      1  78        0         0
#> 89.1  11.44      1  NA        0         0
#> 36    21.19      1  48        0         1
#> 154.2 12.63      1  20        1         0
#> 124.1  9.73      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 49    12.19      1  48        1         0
#> 5     16.43      1  51        0         1
#> 50.1  10.02      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 139   21.49      1  63        1         0
#> 171   16.57      1  41        0         1
#> 168   23.72      1  70        0         0
#> 92.2  22.92      1  47        0         1
#> 40.1  18.00      1  28        1         0
#> 111.3 17.45      1  47        0         1
#> 107.3 11.18      1  54        1         0
#> 39.1  15.59      1  37        0         1
#> 36.1  21.19      1  48        0         1
#> 169   22.41      1  46        0         0
#> 45.2  17.42      1  54        0         1
#> 66    22.13      1  53        0         0
#> 14    12.89      1  21        0         0
#> 106   16.67      1  49        1         0
#> 149.2  8.37      1  33        1         0
#> 101.2  9.97      1  10        0         1
#> 130   16.47      1  53        0         1
#> 123.1 13.00      1  44        1         0
#> 29.1  15.45      1  68        1         0
#> 170.2 19.54      1  43        0         1
#> 97    19.14      1  65        0         1
#> 42.1  12.43      1  49        0         1
#> 139.1 21.49      1  63        1         0
#> 6     15.64      1  39        0         0
#> 41.1  18.02      1  40        1         0
#> 100   16.07      1  60        0         0
#> 88.1  18.37      1  47        0         0
#> 105.1 19.75      1  60        0         0
#> 107.4 11.18      1  54        1         0
#> 100.1 16.07      1  60        0         0
#> 130.1 16.47      1  53        0         1
#> 186   24.00      0  45        1         0
#> 196   24.00      0  19        0         0
#> 176   24.00      0  43        0         1
#> 147   24.00      0  76        1         0
#> 38    24.00      0  31        1         0
#> 147.1 24.00      0  76        1         0
#> 44    24.00      0  56        0         0
#> 141   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 67    24.00      0  25        0         0
#> 193   24.00      0  45        0         1
#> 21    24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 48    24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 17    24.00      0  38        0         1
#> 62    24.00      0  71        0         0
#> 147.2 24.00      0  76        1         0
#> 165   24.00      0  47        0         0
#> 83.1  24.00      0   6        0         0
#> 62.1  24.00      0  71        0         0
#> 11    24.00      0  42        0         1
#> 47    24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 12    24.00      0  63        0         0
#> 62.2  24.00      0  71        0         0
#> 109   24.00      0  48        0         0
#> 38.1  24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 118   24.00      0  44        1         0
#> 11.1  24.00      0  42        0         1
#> 141.1 24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 176.2 24.00      0  43        0         1
#> 144   24.00      0  28        0         1
#> 72    24.00      0  40        0         1
#> 116   24.00      0  58        0         1
#> 156   24.00      0  50        1         0
#> 178.1 24.00      0  52        1         0
#> 147.3 24.00      0  76        1         0
#> 74    24.00      0  43        0         1
#> 148   24.00      0  61        1         0
#> 65    24.00      0  57        1         0
#> 141.2 24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 182   24.00      0  35        0         0
#> 144.1 24.00      0  28        0         1
#> 65.1  24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 17.1  24.00      0  38        0         1
#> 141.3 24.00      0  44        1         0
#> 137.1 24.00      0  45        1         0
#> 186.1 24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 98    24.00      0  34        1         0
#> 120.1 24.00      0  68        0         1
#> 62.3  24.00      0  71        0         0
#> 163   24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 3     24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 142   24.00      0  53        0         0
#> 193.1 24.00      0  45        0         1
#> 71    24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 196.1 24.00      0  19        0         0
#> 185   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 118.1 24.00      0  44        1         0
#> 182.1 24.00      0  35        0         0
#> 104   24.00      0  50        1         0
#> 80    24.00      0  41        0         0
#> 138   24.00      0  44        1         0
#> 67.1  24.00      0  25        0         0
#> 115   24.00      0  NA        1         0
#> 178.2 24.00      0  52        1         0
#> 72.1  24.00      0  40        0         1
#> 103   24.00      0  56        1         0
#> 1.1   24.00      0  23        1         0
#> 102.1 24.00      0  49        0         0
#> 103.1 24.00      0  56        1         0
#> 143   24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 87    24.00      0  27        0         0
#> 7     24.00      0  37        1         0
#> 141.4 24.00      0  44        1         0
#> 148.1 24.00      0  61        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.684          NA        NA      NA
#> 2 age, Cure model          0.00966        NA        NA      NA
#> 3 grade_ii, Cure model     0.251          NA        NA      NA
#> 4 grade_iii, Cure model    0.860          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0188        NA        NA      NA
#> 2 grade_ii, Survival model    0.396         NA        NA      NA
#> 3 grade_iii, Survival model  -0.122         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.683585          0.009659          0.251282          0.859606  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 254.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.683585305      0.009658887      0.251282160      0.859606385 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01884671       0.39630381      -0.12216701 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 1.564075e-02 1.311101e-01 8.824526e-01 9.409499e-01 7.352522e-01
#>   [6] 2.216033e-01 8.258296e-01 3.785160e-03 7.352522e-01 2.858429e-01
#>  [11] 8.007723e-02 2.043514e-02 9.215532e-02 2.563173e-02 4.126405e-01
#>  [16] 1.381830e-01 5.658967e-01 7.352522e-01 4.559887e-01 5.479332e-02
#>  [21] 1.242078e-01 5.631877e-04 7.172555e-01 3.092381e-01 1.047306e-01
#>  [26] 8.007723e-02 1.679677e-01 3.501608e-02 2.216033e-01 4.597034e-02
#>  [31] 5.479332e-02 9.210973e-01 6.154929e-01 1.564075e-02 7.789020e-03
#>  [36] 6.420520e-02 2.043514e-02 7.279517e-05 8.258296e-01 3.501608e-02
#>  [41] 1.323960e-02 3.092381e-01 5.631877e-04 1.679677e-01 1.381830e-01
#>  [46] 3.852279e-01 5.020220e-01 1.935235e-01 2.644246e-04 1.381830e-01
#>  [51] 7.450555e-02 2.857633e-02 5.658967e-01 5.658967e-01 9.409499e-01
#>  [56] 4.245374e-07 3.586452e-01 6.154929e-01 1.174963e-01 4.559887e-01
#>  [61] 6.650132e-01 4.411665e-01 1.935235e-01 4.863577e-01 1.679677e-01
#>  [66] 7.789020e-03 6.154929e-01 8.824526e-01 6.995780e-01 2.973884e-01
#>  [71] 5.178213e-01 4.997295e-03 2.525226e-01 1.236005e-05 5.631877e-04
#>  [76] 1.047306e-01 1.381830e-01 7.352522e-01 3.852279e-01 7.789020e-03
#>  [81] 1.947974e-03 1.935235e-01 2.770919e-03 5.496096e-01 2.419432e-01
#>  [86] 9.409499e-01 8.258296e-01 2.633709e-01 5.178213e-01 4.126405e-01
#>  [91] 3.501608e-02 5.023862e-02 6.650132e-01 4.997295e-03 3.718129e-01
#>  [96] 9.215532e-02 3.333219e-01 6.420520e-02 2.857633e-02 7.352522e-01
#> [101] 3.333219e-01 2.633709e-01 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    32   117   187   149   107    23   101   136 107.1   192    51   190    41 
#> 20.90 17.46  9.92  8.37 11.18 16.92  9.97 21.83 11.18 16.44 18.23 20.81 18.02 
#>   158    29   111   140 107.2    57     8   184    92    43    79    40  51.1 
#> 20.14 15.45 17.45 12.68 11.18 14.46 18.43 17.77 22.92 12.10 16.23 18.00 18.23 
#>    30   170  23.1    55   8.1    16   154  32.1    99    88 190.1   164 101.1 
#> 17.43 19.54 16.92 19.34 18.43  8.71 12.63 20.90 21.19 18.37 20.81 23.60  9.97 
#> 170.1    90  79.1  92.1  30.1 111.1    39    60    45   129 111.2   108   105 
#> 19.54 20.94 16.23 22.92 17.43 17.45 15.59 13.15 17.42 23.41 17.45 18.29 19.75 
#> 140.1 140.2 149.1    86   125 154.1   134  57.1    42   133  45.1    81  30.2 
#> 12.68 12.68  8.37 23.81 15.65 12.63 17.81 14.46 12.43 14.65 17.42 14.06 17.43 
#>    36 154.2 187.1    49     5   123   139   171   168  92.2  40.1 111.3 107.3 
#> 21.19 12.63  9.92 12.19 16.43 13.00 21.49 16.57 23.72 22.92 18.00 17.45 11.18 
#>  39.1  36.1   169  45.2    66    14   106 149.2 101.2   130 123.1  29.1 170.2 
#> 15.59 21.19 22.41 17.42 22.13 12.89 16.67  8.37  9.97 16.47 13.00 15.45 19.54 
#>    97  42.1 139.1     6  41.1   100  88.1 105.1 107.4 100.1 130.1   186   196 
#> 19.14 12.43 21.49 15.64 18.02 16.07 18.37 19.75 11.18 16.07 16.47 24.00 24.00 
#>   176   147    38 147.1    44   141   120    83    67   193    21   178    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1    17    62 147.2   165  83.1  62.1    11    47    28    12  62.2   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.1 176.1   118  11.1 141.1   102 176.2   144    72   116   156 178.1 147.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74   148    65 141.2    20   182 144.1  65.1   137  17.1 141.3 137.1 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84    98 120.1  62.3   163    94     3    53   142 193.1    71  94.1 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   200 118.1 182.1   104    80   138  67.1 178.2  72.1   103   1.1 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1   143   146    87     7 141.4 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[96]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004032065               0.476665951               0.506661626 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.320685756             0.007772613             0.108806310 
#>   grade_iii, Cure model 
#>             0.404973844 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 58    19.34      1  39        0         0
#> 167   15.55      1  56        1         0
#> 32    20.90      1  37        1         0
#> 197   21.60      1  69        1         0
#> 97    19.14      1  65        0         1
#> 8     18.43      1  32        0         0
#> 30    17.43      1  78        0         0
#> 167.1 15.55      1  56        1         0
#> 5     16.43      1  51        0         1
#> 55    19.34      1  69        0         1
#> 105   19.75      1  60        0         0
#> 100   16.07      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 129   23.41      1  53        1         0
#> 61    10.12      1  36        0         1
#> 107   11.18      1  54        1         0
#> 105.1 19.75      1  60        0         0
#> 40    18.00      1  28        1         0
#> 188   16.16      1  46        0         1
#> 25     6.32      1  34        1         0
#> 124    9.73      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 13    14.34      1  54        0         1
#> 79    16.23      1  54        1         0
#> 43    12.10      1  61        0         1
#> 123   13.00      1  44        1         0
#> 194.1 22.40      1  38        0         1
#> 49    12.19      1  48        1         0
#> 179   18.63      1  42        0         0
#> 150   20.33      1  48        0         0
#> 187    9.92      1  39        1         0
#> 171   16.57      1  41        0         1
#> 18    15.21      1  49        1         0
#> 128   20.35      1  35        0         1
#> 25.1   6.32      1  34        1         0
#> 55.1  19.34      1  69        0         1
#> 133   14.65      1  57        0         0
#> 114.1 13.68      1  NA        0         0
#> 123.1 13.00      1  44        1         0
#> 58.1  19.34      1  39        0         0
#> 40.1  18.00      1  28        1         0
#> 49.1  12.19      1  48        1         0
#> 189   10.51      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 149    8.37      1  33        1         0
#> 100.1 16.07      1  60        0         0
#> 114.2 13.68      1  NA        0         0
#> 25.2   6.32      1  34        1         0
#> 149.1  8.37      1  33        1         0
#> 66    22.13      1  53        0         0
#> 124.1  9.73      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 111   17.45      1  47        0         1
#> 139   21.49      1  63        1         0
#> 166   19.98      1  48        0         0
#> 52    10.42      1  52        0         1
#> 129.1 23.41      1  53        1         0
#> 5.1   16.43      1  51        0         1
#> 6     15.64      1  39        0         0
#> 45    17.42      1  54        0         1
#> 88    18.37      1  47        0         0
#> 32.1  20.90      1  37        1         0
#> 42    12.43      1  49        0         1
#> 39    15.59      1  37        0         1
#> 123.2 13.00      1  44        1         0
#> 153   21.33      1  55        1         0
#> 157   15.10      1  47        0         0
#> 86    23.81      1  58        0         1
#> 90    20.94      1  50        0         1
#> 90.1  20.94      1  50        0         1
#> 169   22.41      1  46        0         0
#> 15    22.68      1  48        0         0
#> 149.2  8.37      1  33        1         0
#> 89    11.44      1  NA        0         0
#> 170   19.54      1  43        0         1
#> 189.1 10.51      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 58.2  19.34      1  39        0         0
#> 77     7.27      1  67        0         1
#> 155   13.08      1  26        0         0
#> 41    18.02      1  40        1         0
#> 51    18.23      1  83        0         1
#> 63    22.77      1  31        1         0
#> 167.2 15.55      1  56        1         0
#> 130   16.47      1  53        0         1
#> 78    23.88      1  43        0         0
#> 66.1  22.13      1  53        0         0
#> 167.3 15.55      1  56        1         0
#> 106   16.67      1  49        1         0
#> 76    19.22      1  54        0         1
#> 85    16.44      1  36        0         0
#> 154   12.63      1  20        1         0
#> 8.1   18.43      1  32        0         0
#> 14    12.89      1  21        0         0
#> 40.2  18.00      1  28        1         0
#> 39.1  15.59      1  37        0         1
#> 159   10.55      1  50        0         1
#> 76.1  19.22      1  54        0         1
#> 15.1  22.68      1  48        0         0
#> 51.1  18.23      1  83        0         1
#> 43.1  12.10      1  61        0         1
#> 32.2  20.90      1  37        1         0
#> 88.1  18.37      1  47        0         0
#> 63.1  22.77      1  31        1         0
#> 157.1 15.10      1  47        0         0
#> 97.1  19.14      1  65        0         1
#> 150.1 20.33      1  48        0         0
#> 89.1  11.44      1  NA        0         0
#> 18.1  15.21      1  49        1         0
#> 57.1  14.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 91     5.33      1  61        0         1
#> 173   24.00      0  19        0         1
#> 162   24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 12    24.00      0  63        0         0
#> 53    24.00      0  32        0         1
#> 35    24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 95    24.00      0  68        0         1
#> 109   24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 65    24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 47    24.00      0  38        0         1
#> 73    24.00      0  NA        0         1
#> 20    24.00      0  46        1         0
#> 182   24.00      0  35        0         0
#> 102   24.00      0  49        0         0
#> 65.1  24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 9.1   24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 200   24.00      0  64        0         0
#> 47.1  24.00      0  38        0         1
#> 172   24.00      0  41        0         0
#> 104   24.00      0  50        1         0
#> 156   24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 116   24.00      0  58        0         1
#> 11.1  24.00      0  42        0         1
#> 98.1  24.00      0  34        1         0
#> 67    24.00      0  25        0         0
#> 102.1 24.00      0  49        0         0
#> 22    24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 137.1 24.00      0  45        1         0
#> 147   24.00      0  76        1         0
#> 65.2  24.00      0  57        1         0
#> 2     24.00      0   9        0         0
#> 135   24.00      0  58        1         0
#> 31    24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 163.1 24.00      0  66        0         0
#> 172.1 24.00      0  41        0         0
#> 120.1 24.00      0  68        0         1
#> 152   24.00      0  36        0         1
#> 146   24.00      0  63        1         0
#> 82.1  24.00      0  34        0         0
#> 53.1  24.00      0  32        0         1
#> 65.3  24.00      0  57        1         0
#> 95.1  24.00      0  68        0         1
#> 151.1 24.00      0  42        0         0
#> 53.2  24.00      0  32        0         1
#> 141.1 24.00      0  44        1         0
#> 73.1  24.00      0  NA        0         1
#> 103   24.00      0  56        1         0
#> 178   24.00      0  52        1         0
#> 12.1  24.00      0  63        0         0
#> 11.2  24.00      0  42        0         1
#> 185   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 102.2 24.00      0  49        0         0
#> 156.1 24.00      0  50        1         0
#> 73.2  24.00      0  NA        0         1
#> 83    24.00      0   6        0         0
#> 144   24.00      0  28        0         1
#> 7     24.00      0  37        1         0
#> 82.2  24.00      0  34        0         0
#> 165   24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 82.3  24.00      0  34        0         0
#> 122   24.00      0  66        0         0
#> 7.1   24.00      0  37        1         0
#> 28    24.00      0  67        1         0
#> 146.1 24.00      0  63        1         0
#> 75.1  24.00      0  21        1         0
#> 28.1  24.00      0  67        1         0
#> 17    24.00      0  38        0         1
#> 131   24.00      0  66        0         0
#> 137.2 24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 132   24.00      0  55        0         0
#> 173.1 24.00      0  19        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.321          NA        NA      NA
#> 2 age, Cure model          0.00777        NA        NA      NA
#> 3 grade_ii, Cure model     0.109          NA        NA      NA
#> 4 grade_iii, Cure model    0.405          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00403        NA        NA      NA
#> 2 grade_ii, Survival model   0.477          NA        NA      NA
#> 3 grade_iii, Survival model  0.507          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.320686          0.007773          0.108806          0.404974  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 255.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.320685756      0.007772613      0.108806310      0.404973844 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004032065      0.476665951      0.506661626 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.33886663 0.68669101 0.23938399 0.18461743 0.40602302 0.43501851
#>   [7] 0.54982428 0.68669101 0.60552381 0.33886663 0.30851377 0.64170966
#>  [13] 0.05804324 0.91870995 0.89359188 0.30851377 0.50311611 0.63268625
#>  [19] 0.96785478 0.14023290 0.78264984 0.62361384 0.87682433 0.80875076
#>  [25] 0.14023290 0.85996074 0.42525597 0.27857865 0.92702279 0.57788003
#>  [31] 0.72143549 0.26862163 0.96785478 0.33886663 0.75640629 0.80875076
#>  [37] 0.33886663 0.50311611 0.85996074 0.79137138 0.93530767 0.64170966
#>  [43] 0.96785478 0.93530767 0.16213106 0.00720650 0.54046404 0.19606780
#>  [49] 0.29838194 0.91036423 0.05804324 0.60552381 0.65973779 0.55922772
#>  [55] 0.45442889 0.23938399 0.85143220 0.66883250 0.80875076 0.20735403
#>  [61] 0.73888517 0.04164691 0.21846487 0.21846487 0.12797827 0.10499757
#>  [67] 0.93530767 0.32872563 0.76523932 0.33886663 0.95967965 0.80005637
#>  [73] 0.49338814 0.47398357 0.08288405 0.68669101 0.58712106 0.02311688
#>  [79] 0.16213106 0.68669101 0.56857850 0.38653450 0.59631284 0.84287261
#>  [85] 0.43501851 0.83427057 0.50311611 0.66883250 0.90199196 0.38653450
#>  [91] 0.10499757 0.47398357 0.87682433 0.23938399 0.45442889 0.08288405
#>  [97] 0.73888517 0.40602302 0.27857865 0.72143549 0.76523932 0.53104290
#> [103] 0.99192904 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>    58   167    32   197    97     8    30 167.1     5    55   105   100   129 
#> 19.34 15.55 20.90 21.60 19.14 18.43 17.43 15.55 16.43 19.34 19.75 16.07 23.41 
#>    61   107 105.1    40   188    25   194    13    79    43   123 194.1    49 
#> 10.12 11.18 19.75 18.00 16.16  6.32 22.40 14.34 16.23 12.10 13.00 22.40 12.19 
#>   179   150   187   171    18   128  25.1  55.1   133 123.1  58.1  40.1  49.1 
#> 18.63 20.33  9.92 16.57 15.21 20.35  6.32 19.34 14.65 13.00 19.34 18.00 12.19 
#>    60   149 100.1  25.2 149.1    66    24   111   139   166    52 129.1   5.1 
#> 13.15  8.37 16.07  6.32  8.37 22.13 23.89 17.45 21.49 19.98 10.42 23.41 16.43 
#>     6    45    88  32.1    42    39 123.2   153   157    86    90  90.1   169 
#> 15.64 17.42 18.37 20.90 12.43 15.59 13.00 21.33 15.10 23.81 20.94 20.94 22.41 
#>    15 149.2   170    57  58.2    77   155    41    51    63 167.2   130    78 
#> 22.68  8.37 19.54 14.46 19.34  7.27 13.08 18.02 18.23 22.77 15.55 16.47 23.88 
#>  66.1 167.3   106    76    85   154   8.1    14  40.2  39.1   159  76.1  15.1 
#> 22.13 15.55 16.67 19.22 16.44 12.63 18.43 12.89 18.00 15.59 10.55 19.22 22.68 
#>  51.1  43.1  32.2  88.1  63.1 157.1  97.1 150.1  18.1  57.1   134    91   173 
#> 18.23 12.10 20.90 18.37 22.77 15.10 19.14 20.33 15.21 14.46 17.81  5.33 24.00 
#>   162     9   120   141   193    12    53    35    11    95   109    98    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151    47    20   182   102  65.1   137   163   9.1    19   200  47.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104   156   186    84   116  11.1  98.1    67 102.1    22    75 137.1   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.2     2   135    31    82 163.1 172.1 120.1   152   146  82.1  53.1  65.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.1 151.1  53.2 141.1   103   178  12.1  11.2   185   161 102.2 156.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144     7  82.2   165   174  82.3   122   7.1    28 146.1  75.1  28.1    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131 137.2    34   132 173.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[97]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002149028               0.601443083               0.481754732 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.57611028              0.01435053             -0.18181852 
#>   grade_iii, Cure model 
#>              0.82957276 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 153   21.33      1  55        1         0
#> 190   20.81      1  42        1         0
#> 29    15.45      1  68        1         0
#> 8     18.43      1  32        0         0
#> 130   16.47      1  53        0         1
#> 57    14.46      1  45        0         1
#> 145   10.07      1  65        1         0
#> 187    9.92      1  39        1         0
#> 24    23.89      1  38        0         0
#> 81    14.06      1  34        0         0
#> 24.1  23.89      1  38        0         0
#> 158   20.14      1  74        1         0
#> 50    10.02      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 180   14.82      1  37        0         0
#> 184   17.77      1  38        0         0
#> 168   23.72      1  70        0         0
#> 108   18.29      1  39        0         1
#> 155   13.08      1  26        0         0
#> 59    10.16      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 4     17.64      1  NA        0         1
#> 155.1 13.08      1  26        0         0
#> 8.1   18.43      1  32        0         0
#> 168.1 23.72      1  70        0         0
#> 60    13.15      1  38        1         0
#> 169   22.41      1  46        0         0
#> 8.2   18.43      1  32        0         0
#> 96    14.54      1  33        0         1
#> 197   21.60      1  69        1         0
#> 154   12.63      1  20        1         0
#> 155.2 13.08      1  26        0         0
#> 52    10.42      1  52        0         1
#> 190.1 20.81      1  42        1         0
#> 117   17.46      1  26        0         1
#> 179   18.63      1  42        0         0
#> 164   23.60      1  76        0         1
#> 184.1 17.77      1  38        0         0
#> 154.1 12.63      1  20        1         0
#> 59.1  10.16      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 39    15.59      1  37        0         1
#> 78    23.88      1  43        0         0
#> 43    12.10      1  61        0         1
#> 49    12.19      1  48        1         0
#> 15    22.68      1  48        0         0
#> 39.1  15.59      1  37        0         1
#> 32    20.90      1  37        1         0
#> 97    19.14      1  65        0         1
#> 180.1 14.82      1  37        0         0
#> 26    15.77      1  49        0         1
#> 127    3.53      1  62        0         1
#> 140   12.68      1  59        1         0
#> 154.2 12.63      1  20        1         0
#> 157   15.10      1  47        0         0
#> 37    12.52      1  57        1         0
#> 68    20.62      1  44        0         0
#> 159   10.55      1  50        0         1
#> 63    22.77      1  31        1         0
#> 14    12.89      1  21        0         0
#> 110   17.56      1  65        0         1
#> 45    17.42      1  54        0         1
#> 129   23.41      1  53        1         0
#> 139   21.49      1  63        1         0
#> 106   16.67      1  49        1         0
#> 70     7.38      1  30        1         0
#> 154.3 12.63      1  20        1         0
#> 180.2 14.82      1  37        0         0
#> 166   19.98      1  48        0         0
#> 6     15.64      1  39        0         0
#> 55    19.34      1  69        0         1
#> 32.1  20.90      1  37        1         0
#> 15.1  22.68      1  48        0         0
#> 157.1 15.10      1  47        0         0
#> 93    10.33      1  52        0         1
#> 25     6.32      1  34        1         0
#> 190.2 20.81      1  42        1         0
#> 26.1  15.77      1  49        0         1
#> 61    10.12      1  36        0         1
#> 15.2  22.68      1  48        0         0
#> 177   12.53      1  75        0         0
#> 77     7.27      1  67        0         1
#> 130.1 16.47      1  53        0         1
#> 88.1  18.37      1  47        0         0
#> 68.1  20.62      1  44        0         0
#> 57.1  14.46      1  45        0         1
#> 127.1  3.53      1  62        0         1
#> 51    18.23      1  83        0         1
#> 183    9.24      1  67        1         0
#> 69.1  23.23      1  25        0         1
#> 110.1 17.56      1  65        0         1
#> 51.1  18.23      1  83        0         1
#> 76    19.22      1  54        0         1
#> 42    12.43      1  49        0         1
#> 199   19.81      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 66    22.13      1  53        0         0
#> 41    18.02      1  40        1         0
#> 154.4 12.63      1  20        1         0
#> 59.2  10.16      1  NA        1         0
#> 49.1  12.19      1  48        1         0
#> 29.1  15.45      1  68        1         0
#> 171   16.57      1  41        0         1
#> 110.2 17.56      1  65        0         1
#> 92    22.92      1  47        0         1
#> 145.1 10.07      1  65        1         0
#> 127.2  3.53      1  62        0         1
#> 63.1  22.77      1  31        1         0
#> 69.2  23.23      1  25        0         1
#> 37.1  12.52      1  57        1         0
#> 86    23.81      1  58        0         1
#> 45.1  17.42      1  54        0         1
#> 160   24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 146   24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 200   24.00      0  64        0         0
#> 74    24.00      0  43        0         1
#> 165   24.00      0  47        0         0
#> 64    24.00      0  43        0         0
#> 147   24.00      0  76        1         0
#> 64.1  24.00      0  43        0         0
#> 196   24.00      0  19        0         0
#> 22    24.00      0  52        1         0
#> 17    24.00      0  38        0         1
#> 121   24.00      0  57        1         0
#> 172   24.00      0  41        0         0
#> 151   24.00      0  42        0         0
#> 95    24.00      0  68        0         1
#> 1     24.00      0  23        1         0
#> 75    24.00      0  21        1         0
#> 142   24.00      0  53        0         0
#> 11    24.00      0  42        0         1
#> 103   24.00      0  56        1         0
#> 144   24.00      0  28        0         1
#> 48    24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 196.1 24.00      0  19        0         0
#> 73    24.00      0  NA        0         1
#> 196.2 24.00      0  19        0         0
#> 165.1 24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 95.1  24.00      0  68        0         1
#> 182   24.00      0  35        0         0
#> 185   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 160.1 24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 185.1 24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 2     24.00      0   9        0         0
#> 132   24.00      0  55        0         0
#> 20    24.00      0  46        1         0
#> 95.2  24.00      0  68        0         1
#> 182.1 24.00      0  35        0         0
#> 38    24.00      0  31        1         0
#> 142.1 24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 174   24.00      0  49        1         0
#> 1.1   24.00      0  23        1         0
#> 34.1  24.00      0  36        0         0
#> 20.1  24.00      0  46        1         0
#> 185.2 24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 152   24.00      0  36        0         1
#> 7     24.00      0  37        1         0
#> 74.1  24.00      0  43        0         1
#> 135   24.00      0  58        1         0
#> 54    24.00      0  53        1         0
#> 112   24.00      0  61        0         0
#> 34.2  24.00      0  36        0         0
#> 126   24.00      0  48        0         0
#> 98.1  24.00      0  34        1         0
#> 174.1 24.00      0  49        1         0
#> 21    24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 44    24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 142.2 24.00      0  53        0         0
#> 21.1  24.00      0  47        0         0
#> 74.2  24.00      0  43        0         1
#> 20.2  24.00      0  46        1         0
#> 38.1  24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 33    24.00      0  53        0         0
#> 19    24.00      0  57        0         1
#> 1.2   24.00      0  23        1         0
#> 173.1 24.00      0  19        0         1
#> 148   24.00      0  61        1         0
#> 146.1 24.00      0  63        1         0
#> 98.2  24.00      0  34        1         0
#> 2.1   24.00      0   9        0         0
#> 176   24.00      0  43        0         1
#> 104   24.00      0  50        1         0
#> 22.1  24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 34.3  24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.576         NA        NA      NA
#> 2 age, Cure model           0.0144        NA        NA      NA
#> 3 grade_ii, Cure model     -0.182         NA        NA      NA
#> 4 grade_iii, Cure model     0.830         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00215        NA        NA      NA
#> 2 grade_ii, Survival model   0.601          NA        NA      NA
#> 3 grade_iii, Survival model  0.482          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.57611           0.01435          -0.18182           0.82957  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.5 
#> Residual Deviance: 251.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.57611028       0.01435053      -0.18181852       0.82957276 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002149028      0.601443083      0.481754732 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.30424011 0.33482262 0.67398049 0.44720573 0.61617543 0.73837261
#>   [7] 0.92901419 0.94343446 0.01484339 0.75428110 0.01484339 0.38159735
#>  [13] 0.47449622 0.70618678 0.52920169 0.08020896 0.49293758 0.77022946
#>  [19] 0.14445536 0.77022946 0.44720573 0.08020896 0.76228371 0.24783922
#>  [25] 0.44720573 0.73029286 0.28229508 0.80973371 0.77022946 0.90701440
#>  [31] 0.33482262 0.57317936 0.43795580 0.11254405 0.52920169 0.80973371
#>  [37] 0.27094518 0.65767097 0.04393208 0.89221199 0.87739205 0.21498370
#>  [43] 0.65767097 0.31485569 0.42872270 0.70618678 0.63286831 0.97911864
#>  [49] 0.80182123 0.80973371 0.69006558 0.85482604 0.36268640 0.89962702
#>  [55] 0.19282790 0.79386104 0.54708785 0.58194027 0.12911616 0.29338935
#>  [61] 0.59910378 0.95780386 0.80973371 0.70618678 0.39104112 0.64936236
#>  [67] 0.41000065 0.31485569 0.21498370 0.69006558 0.91437494 0.97204477
#>  [73] 0.33482262 0.63286831 0.92170905 0.21498370 0.84718871 0.96493487
#>  [79] 0.61617543 0.47449622 0.36268640 0.73837261 0.97911864 0.50216102
#>  [85] 0.95063491 0.14445536 0.54708785 0.50216102 0.41940779 0.86986809
#>  [91] 0.40050731 0.25936446 0.52020582 0.80973371 0.87739205 0.67398049
#>  [97] 0.60766852 0.54708785 0.18037106 0.92901419 0.97911864 0.19282790
#> [103] 0.14445536 0.85482604 0.06315770 0.58194027 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   153   190    29     8   130    57   145   187    24    81  24.1   158    88 
#> 21.33 20.81 15.45 18.43 16.47 14.46 10.07  9.92 23.89 14.06 23.89 20.14 18.37 
#>   180   184   168   108   155    69 155.1   8.1 168.1    60   169   8.2    96 
#> 14.82 17.77 23.72 18.29 13.08 23.23 13.08 18.43 23.72 13.15 22.41 18.43 14.54 
#>   197   154 155.2    52 190.1   117   179   164 184.1 154.1   136    39    78 
#> 21.60 12.63 13.08 10.42 20.81 17.46 18.63 23.60 17.77 12.63 21.83 15.59 23.88 
#>    43    49    15  39.1    32    97 180.1    26   127   140 154.2   157    37 
#> 12.10 12.19 22.68 15.59 20.90 19.14 14.82 15.77  3.53 12.68 12.63 15.10 12.52 
#>    68   159    63    14   110    45   129   139   106    70 154.3 180.2   166 
#> 20.62 10.55 22.77 12.89 17.56 17.42 23.41 21.49 16.67  7.38 12.63 14.82 19.98 
#>     6    55  32.1  15.1 157.1    93    25 190.2  26.1    61  15.2   177    77 
#> 15.64 19.34 20.90 22.68 15.10 10.33  6.32 20.81 15.77 10.12 22.68 12.53  7.27 
#> 130.1  88.1  68.1  57.1 127.1    51   183  69.1 110.1  51.1    76    42   105 
#> 16.47 18.37 20.62 14.46  3.53 18.23  9.24 23.23 17.56 18.23 19.22 12.43 19.75 
#>    66    41 154.4  49.1  29.1   171 110.2    92 145.1 127.2  63.1  69.2  37.1 
#> 22.13 18.02 12.63 12.19 15.45 16.57 17.56 22.92 10.07  3.53 22.77 23.23 12.52 
#>    86  45.1   160   146   186    34   200    74   165    64   147  64.1   196 
#> 23.81 17.42 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22    17   121   172   151    95     1    75   142    11   103   144    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173 196.1 196.2 165.1    94  95.1   182   185    98 160.1 172.1 185.1   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   132    20  95.2 182.1    38 142.1    28   174   1.1  34.1  20.1 185.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    82   152     7  74.1   135    54   112  34.2   126  98.1 174.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9    44   102 142.2  21.1  74.2  20.2  38.1 112.1    33    19   1.2 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148 146.1  98.2   2.1   176   104  22.1   161  34.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[98]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                 0.0156737                 0.8334536                 0.6316535 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.2847904743            0.0003433179            0.1961896999 
#>   grade_iii, Cure model 
#>            1.1367402914 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 91     5.33      1  61        0         1
#> 40    18.00      1  28        1         0
#> 69    23.23      1  25        0         1
#> 61    10.12      1  36        0         1
#> 124    9.73      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 187    9.92      1  39        1         0
#> 24    23.89      1  38        0         0
#> 194   22.40      1  38        0         1
#> 40.1  18.00      1  28        1         0
#> 88    18.37      1  47        0         0
#> 101    9.97      1  10        0         1
#> 175   21.91      1  43        0         0
#> 175.1 21.91      1  43        0         0
#> 57    14.46      1  45        0         1
#> 110   17.56      1  65        0         1
#> 69.1  23.23      1  25        0         1
#> 108   18.29      1  39        0         1
#> 99    21.19      1  38        0         1
#> 16     8.71      1  71        0         1
#> 40.2  18.00      1  28        1         0
#> 158   20.14      1  74        1         0
#> 99.1  21.19      1  38        0         1
#> 190   20.81      1  42        1         0
#> 175.2 21.91      1  43        0         0
#> 57.1  14.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 136   21.83      1  43        0         1
#> 145   10.07      1  65        1         0
#> 8     18.43      1  32        0         0
#> 59    10.16      1  NA        1         0
#> 108.1 18.29      1  39        0         1
#> 154   12.63      1  20        1         0
#> 189   10.51      1  NA        1         0
#> 145.1 10.07      1  65        1         0
#> 43    12.10      1  61        0         1
#> 55    19.34      1  69        0         1
#> 96    14.54      1  33        0         1
#> 111   17.45      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 59.1  10.16      1  NA        1         0
#> 101.1  9.97      1  10        0         1
#> 23    16.92      1  61        0         0
#> 97    19.14      1  65        0         1
#> 168   23.72      1  70        0         0
#> 170   19.54      1  43        0         1
#> 105   19.75      1  60        0         0
#> 125   15.65      1  67        1         0
#> 197   21.60      1  69        1         0
#> 183    9.24      1  67        1         0
#> 14    12.89      1  21        0         0
#> 32    20.90      1  37        1         0
#> 51    18.23      1  83        0         1
#> 153   21.33      1  55        1         0
#> 93    10.33      1  52        0         1
#> 26    15.77      1  49        0         1
#> 136.1 21.83      1  43        0         1
#> 18    15.21      1  49        1         0
#> 76    19.22      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 59.2  10.16      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 150   20.33      1  48        0         0
#> 61.1  10.12      1  36        0         1
#> 100   16.07      1  60        0         0
#> 166   19.98      1  48        0         0
#> 106   16.67      1  49        1         0
#> 108.2 18.29      1  39        0         1
#> 43.1  12.10      1  61        0         1
#> 42    12.43      1  49        0         1
#> 29    15.45      1  68        1         0
#> 188   16.16      1  46        0         1
#> 106.1 16.67      1  49        1         0
#> 113   22.86      1  34        0         0
#> 8.1   18.43      1  32        0         0
#> 69.2  23.23      1  25        0         1
#> 24.1  23.89      1  38        0         0
#> 42.1  12.43      1  49        0         1
#> 100.1 16.07      1  60        0         0
#> 25     6.32      1  34        1         0
#> 158.1 20.14      1  74        1         0
#> 145.2 10.07      1  65        1         0
#> 91.1   5.33      1  61        0         1
#> 130   16.47      1  53        0         1
#> 4     17.64      1  NA        0         1
#> 49    12.19      1  48        1         0
#> 42.2  12.43      1  49        0         1
#> 158.2 20.14      1  74        1         0
#> 77     7.27      1  67        0         1
#> 179   18.63      1  42        0         0
#> 6     15.64      1  39        0         0
#> 23.1  16.92      1  61        0         0
#> 194.1 22.40      1  38        0         1
#> 192   16.44      1  31        1         0
#> 184   17.77      1  38        0         0
#> 39    15.59      1  37        0         1
#> 127.1  3.53      1  62        0         1
#> 136.2 21.83      1  43        0         1
#> 66    22.13      1  53        0         0
#> 57.2  14.46      1  45        0         1
#> 36    21.19      1  48        0         1
#> 111.1 17.45      1  47        0         1
#> 113.1 22.86      1  34        0         0
#> 37    12.52      1  57        1         0
#> 124.1  9.73      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 69.3  23.23      1  25        0         1
#> 56    12.21      1  60        0         0
#> 79    16.23      1  54        1         0
#> 166.1 19.98      1  48        0         0
#> 60    13.15      1  38        1         0
#> 194.2 22.40      1  38        0         1
#> 121   24.00      0  57        1         0
#> 172   24.00      0  41        0         0
#> 65    24.00      0  57        1         0
#> 163   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 156   24.00      0  50        1         0
#> 112   24.00      0  61        0         0
#> 102   24.00      0  49        0         0
#> 115   24.00      0  NA        1         0
#> 72    24.00      0  40        0         1
#> 104   24.00      0  50        1         0
#> 151   24.00      0  42        0         0
#> 148   24.00      0  61        1         0
#> 141.1 24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 84    24.00      0  39        0         1
#> 146   24.00      0  63        1         0
#> 146.1 24.00      0  63        1         0
#> 103   24.00      0  56        1         0
#> 27    24.00      0  63        1         0
#> 131   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 112.1 24.00      0  61        0         0
#> 102.1 24.00      0  49        0         0
#> 31    24.00      0  36        0         1
#> 148.1 24.00      0  61        1         0
#> 115.1 24.00      0  NA        1         0
#> 152   24.00      0  36        0         1
#> 172.1 24.00      0  41        0         0
#> 46    24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 84.1  24.00      0  39        0         1
#> 11    24.00      0  42        0         1
#> 73    24.00      0  NA        0         1
#> 132   24.00      0  55        0         0
#> 67    24.00      0  25        0         0
#> 144   24.00      0  28        0         1
#> 135   24.00      0  58        1         0
#> 142   24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 104.1 24.00      0  50        1         0
#> 38.1  24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 33.1  24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 142.1 24.00      0  53        0         0
#> 84.2  24.00      0  39        0         1
#> 2.1   24.00      0   9        0         0
#> 62    24.00      0  71        0         0
#> 33.2  24.00      0  53        0         0
#> 142.2 24.00      0  53        0         0
#> 102.2 24.00      0  49        0         0
#> 198   24.00      0  66        0         1
#> 120.1 24.00      0  68        0         1
#> 148.2 24.00      0  61        1         0
#> 82    24.00      0  34        0         0
#> 135.1 24.00      0  58        1         0
#> 176   24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 186   24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 109   24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 112.2 24.00      0  61        0         0
#> 53    24.00      0  32        0         1
#> 38.2  24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 115.2 24.00      0  NA        1         0
#> 12.1  24.00      0  63        0         0
#> 75    24.00      0  21        1         0
#> 116   24.00      0  58        0         1
#> 116.1 24.00      0  58        0         1
#> 144.1 24.00      0  28        0         1
#> 19    24.00      0  57        0         1
#> 173   24.00      0  19        0         1
#> 34    24.00      0  36        0         0
#> 7     24.00      0  37        1         0
#> 135.2 24.00      0  58        1         0
#> 27.1  24.00      0  63        1         0
#> 186.1 24.00      0  45        1         0
#> 141.2 24.00      0  44        1         0
#> 33.3  24.00      0  53        0         0
#> 102.3 24.00      0  49        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.285           NA        NA      NA
#> 2 age, Cure model          0.000343        NA        NA      NA
#> 3 grade_ii, Cure model     0.196           NA        NA      NA
#> 4 grade_iii, Cure model    1.14            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0157        NA        NA      NA
#> 2 grade_ii, Survival model    0.833         NA        NA      NA
#> 3 grade_iii, Survival model   0.632         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.2847905         0.0003433         0.1961897         1.1367403  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 245.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.2847904743     0.0003433179     0.1961896999     1.1367402914 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>        0.0156737        0.8334536        0.6316535 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9898032 0.8061624 0.3458612 0.9565074 0.9949535 0.9763533 0.1713721
#>   [8] 0.4761929 0.8061624 0.7805849 0.9707861 0.5397183 0.5397183 0.9085191
#>  [15] 0.8249049 0.3458612 0.7859652 0.6386690 0.9818346 0.8061624 0.6901801
#>  [22] 0.6386690 0.6738070 0.5397183 0.9085191 0.7355471 0.5822172 0.9623895
#>  [29] 0.7697805 0.7859652 0.9252771 0.9623895 0.9474913 0.7355471 0.9050343
#>  [36] 0.8294847 0.9707861 0.8383337 0.7588009 0.2973972 0.7292814 0.7228674
#>  [43] 0.8869132 0.6177439 0.9791154 0.9219451 0.6652027 0.8012283 0.6285933
#>  [50] 0.9535193 0.8831253 0.5822172 0.9015204 0.7474798 0.7474798 0.6820487
#>  [57] 0.9565074 0.8754654 0.7099178 0.8470356 0.7859652 0.9474913 0.9318362
#>  [64] 0.8979514 0.8715738 0.8470356 0.4332521 0.7697805 0.3458612 0.1713721
#>  [71] 0.9318362 0.8754654 0.9871713 0.6901801 0.9623895 0.9898032 0.8595361
#>  [78] 0.9443957 0.9318362 0.6901801 0.9845188 0.7643091 0.8906131 0.8383337
#>  [85] 0.4761929 0.8636100 0.8202154 0.8943000 0.9949535 0.5822172 0.5239353
#>  [92] 0.9085191 0.6386690 0.8294847 0.4332521 0.9285834 0.8553973 0.3458612
#>  [99] 0.9412602 0.8676318 0.7099178 0.9186085 0.4761929 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    91    40    69    61   127   187    24   194  40.1    88   101   175 175.1 
#>  5.33 18.00 23.23 10.12  3.53  9.92 23.89 22.40 18.00 18.37  9.97 21.91 21.91 
#>    57   110  69.1   108    99    16  40.2   158  99.1   190 175.2  57.1    58 
#> 14.46 17.56 23.23 18.29 21.19  8.71 18.00 20.14 21.19 20.81 21.91 14.46 19.34 
#>   136   145     8 108.1   154 145.1    43    55    96   111 101.1    23    97 
#> 21.83 10.07 18.43 18.29 12.63 10.07 12.10 19.34 14.54 17.45  9.97 16.92 19.14 
#>   168   170   105   125   197   183    14    32    51   153    93    26 136.1 
#> 23.72 19.54 19.75 15.65 21.60  9.24 12.89 20.90 18.23 21.33 10.33 15.77 21.83 
#>    18    76  76.1   150  61.1   100   166   106 108.2  43.1    42    29   188 
#> 15.21 19.22 19.22 20.33 10.12 16.07 19.98 16.67 18.29 12.10 12.43 15.45 16.16 
#> 106.1   113   8.1  69.2  24.1  42.1 100.1    25 158.1 145.2  91.1   130    49 
#> 16.67 22.86 18.43 23.23 23.89 12.43 16.07  6.32 20.14 10.07  5.33 16.47 12.19 
#>  42.2 158.2    77   179     6  23.1 194.1   192   184    39 127.1 136.2    66 
#> 12.43 20.14  7.27 18.63 15.64 16.92 22.40 16.44 17.77 15.59  3.53 21.83 22.13 
#>  57.2    36 111.1 113.1    37   171  69.3    56    79 166.1    60 194.2   121 
#> 14.46 21.19 17.45 22.86 12.52 16.57 23.23 12.21 16.23 19.98 13.15 22.40 24.00 
#>   172    65   163   120   141     1   156   112   102    72   104   151   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.1    44    84   146 146.1   103    27   131    47    33   182 112.1 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31 148.1   152 172.1    46   200  84.1    11   132    67   144   135   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   162 104.1  38.1     2  33.1    54 142.1  84.2   2.1    62  33.2 142.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.2   198 120.1 148.2    82 135.1   176    17   186    74   109    12 112.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53  38.2   185  12.1    75   116 116.1 144.1    19   173    34     7 135.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1 186.1 141.2  33.3 102.3 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[99]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001094481               0.033081233               0.280281422 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.329842712             0.004534657            -0.021118982 
#>   grade_iii, Cure model 
#>             0.893637939 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 155   13.08      1  26        0         0
#> 43    12.10      1  61        0         1
#> 14    12.89      1  21        0         0
#> 60    13.15      1  38        1         0
#> 66    22.13      1  53        0         0
#> 106   16.67      1  49        1         0
#> 175   21.91      1  43        0         0
#> 194   22.40      1  38        0         1
#> 42    12.43      1  49        0         1
#> 77     7.27      1  67        0         1
#> 177   12.53      1  75        0         0
#> 88    18.37      1  47        0         0
#> 158   20.14      1  74        1         0
#> 159   10.55      1  50        0         1
#> 52    10.42      1  52        0         1
#> 39    15.59      1  37        0         1
#> 110   17.56      1  65        0         1
#> 124    9.73      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 145   10.07      1  65        1         0
#> 81    14.06      1  34        0         0
#> 188   16.16      1  46        0         1
#> 36    21.19      1  48        0         1
#> 180   14.82      1  37        0         0
#> 155.1 13.08      1  26        0         0
#> 43.1  12.10      1  61        0         1
#> 180.1 14.82      1  37        0         0
#> 155.2 13.08      1  26        0         0
#> 77.1   7.27      1  67        0         1
#> 158.1 20.14      1  74        1         0
#> 111   17.45      1  47        0         1
#> 123   13.00      1  44        1         0
#> 97    19.14      1  65        0         1
#> 88.1  18.37      1  47        0         0
#> 49    12.19      1  48        1         0
#> 149    8.37      1  33        1         0
#> 114   13.68      1  NA        0         0
#> 130   16.47      1  53        0         1
#> 60.1  13.15      1  38        1         0
#> 110.1 17.56      1  65        0         1
#> 154   12.63      1  20        1         0
#> 170   19.54      1  43        0         1
#> 16     8.71      1  71        0         1
#> 50    10.02      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 25     6.32      1  34        1         0
#> 43.2  12.10      1  61        0         1
#> 169   22.41      1  46        0         0
#> 90    20.94      1  50        0         1
#> 180.2 14.82      1  37        0         0
#> 70     7.38      1  30        1         0
#> 66.1  22.13      1  53        0         0
#> 129   23.41      1  53        1         0
#> 30    17.43      1  78        0         0
#> 18    15.21      1  49        1         0
#> 101    9.97      1  10        0         1
#> 108   18.29      1  39        0         1
#> 51    18.23      1  83        0         1
#> 69    23.23      1  25        0         1
#> 45    17.42      1  54        0         1
#> 81.1  14.06      1  34        0         0
#> 157   15.10      1  47        0         0
#> 153   21.33      1  55        1         0
#> 39.1  15.59      1  37        0         1
#> 124.1  9.73      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 49.1  12.19      1  48        1         0
#> 58    19.34      1  39        0         0
#> 45.1  17.42      1  54        0         1
#> 99    21.19      1  38        0         1
#> 134   17.81      1  47        1         0
#> 197   21.60      1  69        1         0
#> 117   17.46      1  26        0         1
#> 16.1   8.71      1  71        0         1
#> 113   22.86      1  34        0         0
#> 189   10.51      1  NA        1         0
#> 130.1 16.47      1  53        0         1
#> 97.1  19.14      1  65        0         1
#> 97.2  19.14      1  65        0         1
#> 177.1 12.53      1  75        0         0
#> 188.1 16.16      1  46        0         1
#> 154.1 12.63      1  20        1         0
#> 26    15.77      1  49        0         1
#> 60.2  13.15      1  38        1         0
#> 195   11.76      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 77.2   7.27      1  67        0         1
#> 155.3 13.08      1  26        0         0
#> 114.1 13.68      1  NA        0         0
#> 107   11.18      1  54        1         0
#> 61    10.12      1  36        0         1
#> 105   19.75      1  60        0         0
#> 170.1 19.54      1  43        0         1
#> 195.1 11.76      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 85    16.44      1  36        0         0
#> 184   17.77      1  38        0         0
#> 159.1 10.55      1  50        0         1
#> 129.1 23.41      1  53        1         0
#> 8     18.43      1  32        0         0
#> 197.1 21.60      1  69        1         0
#> 134.1 17.81      1  47        1         0
#> 127    3.53      1  62        0         1
#> 92    22.92      1  47        0         1
#> 41    18.02      1  40        1         0
#> 140   12.68      1  59        1         0
#> 171   16.57      1  41        0         1
#> 133   14.65      1  57        0         0
#> 30.1  17.43      1  78        0         0
#> 166   19.98      1  48        0         0
#> 150   20.33      1  48        0         0
#> 63    22.77      1  31        1         0
#> 7     24.00      0  37        1         0
#> 143   24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 3     24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 27    24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 54    24.00      0  53        1         0
#> 126   24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 65    24.00      0  57        1         0
#> 121   24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 120   24.00      0  68        0         1
#> 28    24.00      0  67        1         0
#> 46    24.00      0  71        0         0
#> 120.1 24.00      0  68        0         1
#> 103   24.00      0  56        1         0
#> 53    24.00      0  32        0         1
#> 48    24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 118   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 118.1 24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 138   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 163   24.00      0  66        0         0
#> 65.1  24.00      0  57        1         0
#> 137.1 24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 67    24.00      0  25        0         0
#> 138.1 24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 83    24.00      0   6        0         0
#> 28.1  24.00      0  67        1         0
#> 98    24.00      0  34        1         0
#> 12    24.00      0  63        0         0
#> 33    24.00      0  53        0         0
#> 109   24.00      0  48        0         0
#> 64    24.00      0  43        0         0
#> 122   24.00      0  66        0         0
#> 48.1  24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 95.1  24.00      0  68        0         1
#> 163.1 24.00      0  66        0         0
#> 33.1  24.00      0  53        0         0
#> 82.1  24.00      0  34        0         0
#> 161   24.00      0  45        0         0
#> 161.1 24.00      0  45        0         0
#> 47    24.00      0  38        0         1
#> 62.1  24.00      0  71        0         0
#> 11    24.00      0  42        0         1
#> 17    24.00      0  38        0         1
#> 27.1  24.00      0  63        1         0
#> 62.2  24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 67.1  24.00      0  25        0         0
#> 161.2 24.00      0  45        0         0
#> 72    24.00      0  40        0         1
#> 19.1  24.00      0  57        0         1
#> 115   24.00      0  NA        1         0
#> 121.1 24.00      0  57        1         0
#> 27.2  24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 173.1 24.00      0  19        0         1
#> 147   24.00      0  76        1         0
#> 17.1  24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 138.2 24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 21    24.00      0  47        0         0
#> 44    24.00      0  56        0         0
#> 80.1  24.00      0  41        0         0
#> 28.2  24.00      0  67        1         0
#> 151   24.00      0  42        0         0
#> 3.2   24.00      0  31        1         0
#> 173.2 24.00      0  19        0         1
#> 112   24.00      0  61        0         0
#> 143.1 24.00      0  51        0         0
#> 84.1  24.00      0  39        0         1
#> 72.1  24.00      0  40        0         1
#> 34    24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.330          NA        NA      NA
#> 2 age, Cure model          0.00453        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0211         NA        NA      NA
#> 4 grade_iii, Cure model    0.894          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00109        NA        NA      NA
#> 2 grade_ii, Survival model   0.0331         NA        NA      NA
#> 3 grade_iii, Survival model  0.280          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.329843          0.004535         -0.021119          0.893638  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 253.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.329842712      0.004534657     -0.021118982      0.893637939 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001094481      0.033081233      0.280281422 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.70050805 0.81999040 0.74306173 0.67486823 0.13631061 0.51664854
#>   [7] 0.15964630 0.12396892 0.79447459 0.95201506 0.77740153 0.36389856
#>  [13] 0.25044235 0.85340175 0.87000821 0.58836772 0.44208962 0.89485015
#>  [19] 0.65761385 0.56187717 0.20647155 0.62316685 0.70050805 0.81999040
#>  [25] 0.62316685 0.70050805 0.95201506 0.25044235 0.47044278 0.73443703
#>  [31] 0.32455225 0.36389856 0.80302088 0.93573883 0.53498977 0.67486823
#>  [37] 0.44208962 0.76029635 0.29340641 0.91951858 0.09824385 0.97595614
#>  [43] 0.81999040 0.11114394 0.22840968 0.62316685 0.94387934 0.13631061
#>  [49] 0.01784411 0.47983802 0.60571892 0.90309263 0.38364718 0.39355347
#>  [55] 0.04446090 0.49838055 0.65761385 0.61444615 0.19469776 0.58836772
#>  [61] 0.98399784 0.80302088 0.31406337 0.49838055 0.20647155 0.41312555
#>  [67] 0.17173108 0.46097316 0.91951858 0.07213055 0.53498977 0.32455225
#>  [73] 0.32455225 0.77740153 0.56187717 0.76029635 0.57952789 0.67486823
#>  [79] 0.91130976 0.95201506 0.70050805 0.84499230 0.88659933 0.28258948
#>  [85] 0.29340641 0.87831948 0.55286965 0.43236812 0.85340175 0.01784411
#>  [91] 0.35385749 0.17173108 0.41312555 0.99201235 0.05892263 0.40334899
#>  [97] 0.75168411 0.52584988 0.64892062 0.47983802 0.27174444 0.23943964
#> [103] 0.08525438 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   155    43    14    60    66   106   175   194    42    77   177    88   158 
#> 13.08 12.10 12.89 13.15 22.13 16.67 21.91 22.40 12.43  7.27 12.53 18.37 20.14 
#>   159    52    39   110   145    81   188    36   180 155.1  43.1 180.1 155.2 
#> 10.55 10.42 15.59 17.56 10.07 14.06 16.16 21.19 14.82 13.08 12.10 14.82 13.08 
#>  77.1 158.1   111   123    97  88.1    49   149   130  60.1 110.1   154   170 
#>  7.27 20.14 17.45 13.00 19.14 18.37 12.19  8.37 16.47 13.15 17.56 12.63 19.54 
#>    16    15    25  43.2   169    90 180.2    70  66.1   129    30    18   101 
#>  8.71 22.68  6.32 12.10 22.41 20.94 14.82  7.38 22.13 23.41 17.43 15.21  9.97 
#>   108    51    69    45  81.1   157   153  39.1    91  49.1    58  45.1    99 
#> 18.29 18.23 23.23 17.42 14.06 15.10 21.33 15.59  5.33 12.19 19.34 17.42 21.19 
#>   134   197   117  16.1   113 130.1  97.1  97.2 177.1 188.1 154.1    26  60.2 
#> 17.81 21.60 17.46  8.71 22.86 16.47 19.14 19.14 12.53 16.16 12.63 15.77 13.15 
#>   183  77.2 155.3   107    61   105 170.1    93    85   184 159.1 129.1     8 
#>  9.24  7.27 13.08 11.18 10.12 19.75 19.54 10.33 16.44 17.77 10.55 23.41 18.43 
#> 197.1 134.1   127    92    41   140   171   133  30.1   166   150    63     7 
#> 21.60 17.81  3.53 22.92 18.02 12.68 16.57 14.65 17.43 19.98 20.33 22.77 24.00 
#>   143   116     3   173    27   182    54   126    19    65   121   148   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28    46 120.1   103    53    48   3.1    62   118    95   137    82 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   138     1   163  65.1 137.1   198    67 138.1   1.1    83  28.1    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12    33   109    64   122  48.1    84  95.1 163.1  33.1  82.1   161 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47  62.1    11    17  27.1  62.2   132  67.1 161.2    72  19.1 121.1  27.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178   142    38 173.1   147  17.1     2 138.2   196    21    44  80.1  28.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151   3.2 173.2   112 143.1  84.1  72.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[100]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0003242654             -0.1256708412             -0.1162769832 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.88603102              0.01374345              0.35543050 
#>   grade_iii, Cure model 
#>              0.80467022 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x564add25e1d8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 129   23.41      1  53        1         0
#> 68    20.62      1  44        0         0
#> 10    10.53      1  34        0         0
#> 139   21.49      1  63        1         0
#> 123   13.00      1  44        1         0
#> 81    14.06      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 110   17.56      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 153   21.33      1  55        1         0
#> 40    18.00      1  28        1         0
#> 194   22.40      1  38        0         1
#> 134   17.81      1  47        1         0
#> 127    3.53      1  62        0         1
#> 129.1 23.41      1  53        1         0
#> 188   16.16      1  46        0         1
#> 92    22.92      1  47        0         1
#> 171   16.57      1  41        0         1
#> 63    22.77      1  31        1         0
#> 125   15.65      1  67        1         0
#> 167   15.55      1  56        1         0
#> 134.1 17.81      1  47        1         0
#> 25     6.32      1  34        1         0
#> 140   12.68      1  59        1         0
#> 52    10.42      1  52        0         1
#> 49    12.19      1  48        1         0
#> 60    13.15      1  38        1         0
#> 39    15.59      1  37        0         1
#> 133   14.65      1  57        0         0
#> 60.1  13.15      1  38        1         0
#> 188.1 16.16      1  46        0         1
#> 169   22.41      1  46        0         0
#> 180   14.82      1  37        0         0
#> 158   20.14      1  74        1         0
#> 93    10.33      1  52        0         1
#> 155   13.08      1  26        0         0
#> 25.1   6.32      1  34        1         0
#> 113   22.86      1  34        0         0
#> 99    21.19      1  38        0         1
#> 170   19.54      1  43        0         1
#> 117   17.46      1  26        0         1
#> 69    23.23      1  25        0         1
#> 36    21.19      1  48        0         1
#> 154   12.63      1  20        1         0
#> 59    10.16      1  NA        1         0
#> 171.1 16.57      1  41        0         1
#> 197   21.60      1  69        1         0
#> 76    19.22      1  54        0         1
#> 5     16.43      1  51        0         1
#> 127.1  3.53      1  62        0         1
#> 139.1 21.49      1  63        1         0
#> 61    10.12      1  36        0         1
#> 59.1  10.16      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 85    16.44      1  36        0         0
#> 197.1 21.60      1  69        1         0
#> 110.1 17.56      1  65        0         1
#> 114   13.68      1  NA        0         0
#> 181   16.46      1  45        0         1
#> 45.1  17.42      1  54        0         1
#> 86    23.81      1  58        0         1
#> 183    9.24      1  67        1         0
#> 30    17.43      1  78        0         0
#> 195   11.76      1  NA        1         0
#> 39.1  15.59      1  37        0         1
#> 190   20.81      1  42        1         0
#> 97    19.14      1  65        0         1
#> 145   10.07      1  65        1         0
#> 25.2   6.32      1  34        1         0
#> 127.2  3.53      1  62        0         1
#> 6     15.64      1  39        0         0
#> 6.1   15.64      1  39        0         0
#> 169.1 22.41      1  46        0         0
#> 111   17.45      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 59.2  10.16      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 127.3  3.53      1  62        0         1
#> 52.1  10.42      1  52        0         1
#> 57    14.46      1  45        0         1
#> 55    19.34      1  69        0         1
#> 108   18.29      1  39        0         1
#> 63.1  22.77      1  31        1         0
#> 50.1  10.02      1  NA        1         0
#> 10.1  10.53      1  34        0         0
#> 70     7.38      1  30        1         0
#> 70.1   7.38      1  30        1         0
#> 181.1 16.46      1  45        0         1
#> 166   19.98      1  48        0         0
#> 108.1 18.29      1  39        0         1
#> 108.2 18.29      1  39        0         1
#> 171.2 16.57      1  41        0         1
#> 187    9.92      1  39        1         0
#> 29    15.45      1  68        1         0
#> 100   16.07      1  60        0         0
#> 167.1 15.55      1  56        1         0
#> 124    9.73      1  NA        1         0
#> 127.4  3.53      1  62        0         1
#> 181.2 16.46      1  45        0         1
#> 56    12.21      1  60        0         0
#> 177   12.53      1  75        0         0
#> 5.1   16.43      1  51        0         1
#> 10.2  10.53      1  34        0         0
#> 13    14.34      1  54        0         1
#> 183.1  9.24      1  67        1         0
#> 184   17.77      1  38        0         0
#> 29.1  15.45      1  68        1         0
#> 79    16.23      1  54        1         0
#> 55.1  19.34      1  69        0         1
#> 173   24.00      0  19        0         1
#> 82    24.00      0  34        0         0
#> 73    24.00      0  NA        0         1
#> 144   24.00      0  28        0         1
#> 147   24.00      0  76        1         0
#> 64    24.00      0  43        0         0
#> 21    24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 116   24.00      0  58        0         1
#> 198   24.00      0  66        0         1
#> 64.1  24.00      0  43        0         0
#> 2     24.00      0   9        0         0
#> 161   24.00      0  45        0         0
#> 95    24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 198.1 24.00      0  66        0         1
#> 11    24.00      0  42        0         1
#> 148   24.00      0  61        1         0
#> 87    24.00      0  27        0         0
#> 165   24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 122   24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 22    24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 65    24.00      0  57        1         0
#> 11.1  24.00      0  42        0         1
#> 165.1 24.00      0  47        0         0
#> 83    24.00      0   6        0         0
#> 75    24.00      0  21        1         0
#> 144.1 24.00      0  28        0         1
#> 7     24.00      0  37        1         0
#> 27    24.00      0  63        1         0
#> 75.1  24.00      0  21        1         0
#> 198.2 24.00      0  66        0         1
#> 33    24.00      0  53        0         0
#> 65.1  24.00      0  57        1         0
#> 144.2 24.00      0  28        0         1
#> 95.1  24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 21.1  24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 119   24.00      0  17        0         0
#> 102   24.00      0  49        0         0
#> 71    24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 102.1 24.00      0  49        0         0
#> 141   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 141.1 24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 172   24.00      0  41        0         0
#> 141.2 24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 3     24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 7.1   24.00      0  37        1         0
#> 178   24.00      0  52        1         0
#> 178.1 24.00      0  52        1         0
#> 103   24.00      0  56        1         0
#> 162   24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 186   24.00      0  45        1         0
#> 94    24.00      0  51        0         1
#> 3.1   24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 116.1 24.00      0  58        0         1
#> 75.2  24.00      0  21        1         0
#> 17    24.00      0  38        0         1
#> 31    24.00      0  36        0         1
#> 19.1  24.00      0  57        0         1
#> 87.1  24.00      0  27        0         0
#> 54    24.00      0  53        1         0
#> 48.1  24.00      0  31        1         0
#> 186.1 24.00      0  45        1         0
#> 48.2  24.00      0  31        1         0
#> 11.2  24.00      0  42        0         1
#> 103.1 24.00      0  56        1         0
#> 46    24.00      0  71        0         0
#> 116.2 24.00      0  58        0         1
#> 95.2  24.00      0  68        0         1
#> 144.3 24.00      0  28        0         1
#> 131   24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.886         NA        NA      NA
#> 2 age, Cure model           0.0137        NA        NA      NA
#> 3 grade_ii, Cure model      0.355         NA        NA      NA
#> 4 grade_iii, Cure model     0.805         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.000324        NA        NA      NA
#> 2 grade_ii, Survival model  -0.126           NA        NA      NA
#> 3 grade_iii, Survival model -0.116           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.88603           0.01374           0.35543           0.80467  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 252.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.88603102       0.01374345       0.35543050       0.80467022 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0003242654    -0.1256708412    -0.1162769832 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.628609035 0.398433002 0.012994588 0.168951839 0.782872448 0.114293964
#>   [7] 0.720864450 0.679855162 0.168951839 0.329837313 0.132076055 0.291042045
#>  [13] 0.087772705 0.300774187 0.948399244 0.012994588 0.507337078 0.035971034
#>  [19] 0.408378548 0.053847230 0.537564336 0.588025506 0.300774187 0.917250584
#>  [25] 0.731176319 0.813503441 0.772521483 0.690122143 0.567838041 0.649094050
#>  [31] 0.690122143 0.507337078 0.070830421 0.638852532 0.187242648 0.834103721
#>  [37] 0.710568110 0.917250584 0.044915979 0.141354779 0.206087882 0.349220299
#>  [43] 0.027244679 0.141354779 0.741502908 0.408378548 0.096788836 0.234200783
#>  [49] 0.477262839 0.948399244 0.114293964 0.844480458 0.378840395 0.467212933
#>  [55] 0.096788836 0.329837313 0.437699826 0.378840395 0.004315249 0.875687208
#>  [61] 0.368962840 0.567838041 0.159530491 0.243756645 0.854869877 0.917250584
#>  [67] 0.948399244 0.547721465 0.547721465 0.070830421 0.359078523 0.281345613
#>  [73] 0.948399244 0.813503441 0.659332558 0.215549132 0.253346691 0.053847230
#>  [79] 0.782872448 0.896442516 0.896442516 0.437699826 0.196668762 0.253346691
#>  [85] 0.253346691 0.408378548 0.865271851 0.608283927 0.527426125 0.588025506
#>  [91] 0.948399244 0.437699826 0.762184959 0.751845683 0.477262839 0.782872448
#>  [97] 0.669586464 0.875687208 0.320052267 0.608283927 0.497230121 0.215549132
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>   157   106   129    68    10   139   123    81  68.1   110   153    40   194 
#> 15.10 16.67 23.41 20.62 10.53 21.49 13.00 14.06 20.62 17.56 21.33 18.00 22.40 
#>   134   127 129.1   188    92   171    63   125   167 134.1    25   140    52 
#> 17.81  3.53 23.41 16.16 22.92 16.57 22.77 15.65 15.55 17.81  6.32 12.68 10.42 
#>    49    60    39   133  60.1 188.1   169   180   158    93   155  25.1   113 
#> 12.19 13.15 15.59 14.65 13.15 16.16 22.41 14.82 20.14 10.33 13.08  6.32 22.86 
#>    99   170   117    69    36   154 171.1   197    76     5 127.1 139.1    61 
#> 21.19 19.54 17.46 23.23 21.19 12.63 16.57 21.60 19.22 16.43  3.53 21.49 10.12 
#>    45    85 197.1 110.1   181  45.1    86   183    30  39.1   190    97   145 
#> 17.42 16.44 21.60 17.56 16.46 17.42 23.81  9.24 17.43 15.59 20.81 19.14 10.07 
#>  25.2 127.2     6   6.1 169.1   111    41 127.3  52.1    57    55   108  63.1 
#>  6.32  3.53 15.64 15.64 22.41 17.45 18.02  3.53 10.42 14.46 19.34 18.29 22.77 
#>  10.1    70  70.1 181.1   166 108.1 108.2 171.2   187    29   100 167.1 127.4 
#> 10.53  7.38  7.38 16.46 19.98 18.29 18.29 16.57  9.92 15.45 16.07 15.55  3.53 
#> 181.2    56   177   5.1  10.2    13 183.1   184  29.1    79  55.1   173    82 
#> 16.46 12.21 12.53 16.43 10.53 14.34  9.24 17.77 15.45 16.23 19.34 24.00 24.00 
#>   144   147    64    21    74   116   198  64.1     2   161    95    62 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11   148    87   165   109   122   121    22   152    65  11.1 165.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75 144.1     7    27  75.1 198.2    33  65.1 144.2  95.1   174  21.1    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   119   102    71    38   135 102.1   141    19 141.1   200   172 141.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1     3   196   7.1   178 178.1   103   162    67   186    94   3.1   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146 116.1  75.2    17    31  19.1  87.1    54  48.1 186.1  48.2  11.2 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46 116.2  95.2 144.3   131   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 2 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#> 
#> $cure_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 0 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#>